{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from concurrent.futures.process import ProcessPoolExecutor\n",
    "from pathlib import Path\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import torch\n",
    "from lhotse import LilcomFilesWriter\n",
    "\n",
    "from lhotse.recipes.ami import download, prepare_ami\n",
    "from lhotse.features import Fbank, FeatureSetBuilder\n",
    "from lhotse.cut import CutSet\n",
    "from lhotse.dataset.speech_recognition import SpeechRecognitionDataset\n",
    "from lhotse.dataset.vad import VadDataset"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Settings for paths"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "root_dir = Path('data')\n",
    "output_dir = root_dir / 'ami_nb'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Download the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "download(root_dir)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Prepare audio and supervision manifests"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "ami_manifests = prepare_ami(root_dir, output_dir)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Extract features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "example = ami_manifests['dev']\n",
    "\n",
    "with LilcomFilesWriter(f'{output_dir}/feats_example') as storage:\n",
    "    cut_set = CutSet.from_manifests(\n",
    "        recordings=example['recordings'],\n",
    "        supervisions=example['supervisions']\n",
    "    ).compute_and_store_features(\n",
    "        extractor=Fbank(),\n",
    "        storage=storage,\n",
    "    )\n",
    "example['cuts'] = cut_set"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Make pytorch Dataset for ASR task"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "asr_dataset = SpeechRecognitionDataset(example['cuts'].trim_to_supervisions())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Illustation of an example"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WELCOME EVERYBODY\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x1403216d0>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x144 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sample = asr_dataset[1]\n",
    "print(sample['text'])\n",
    "plt.matshow(sample['features'].transpose(0, 1).flip(0))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Make pytorch Dataset for VAD task"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "vad_dataset = VadDataset(example['cuts'].cut_into_windows(10.0, keep_excessive_supervisions=True))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Illustation of an example"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x1430d04f0>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA5gAAAAsCAYAAAAAexdDAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/d3fzzAAAACXBIWXMAAAsTAAALEwEAmpwYAAAG20lEQVR4nO3db8jdZR3H8ffH3U6b6aYmUs78QzMZkSlD7Q8SKrRSWoSUUSSi7EnUkiLMJ9KDHgSVFYYwtLA/9IelJD5IwoR60nBzkjYbLbVN0ZxOTTTc1G8Pftf09m5zx/bbfe77d94vGOf8rt/1O+d7w/e+dr7377quk6pCkiRJkqQDdci4A5AkSZIkDYMFpiRJkiSpFxaYkiRJkqReWGBKkiRJknphgSlJkiRJ6oUFpiRJkiSpF70XmElWJtmSZGuSq/t+fakvSU5McleSzUn+mmRNaz8mye+T/L09Ht3ak+QHLbf/kuSs8f4E0muSLEiyKcnt7fiUJOtbvv4qycLWflg73trOnzzWwKVpkixJsi7J35I8kOT9jsmaj5Jc1T5b3J/kF0kOd1zWpOi1wEyyAPgh8FFgOfCZJMv7fA+pRy8BX6mq5cC5wBdavl4N3FlVy4A72zF0eb2s/VsN3DD7IUv7tAZ4YNrxt4DrqupdwNPAFa39CuDp1n5d6yfNFd8HfldVpwNn0OW0Y7LmlSQnAF8CVlTVe4AFwKU4LmtC9H0H82xga1U9WFW7gF8Cq3p+D6kXVfVYVd3Tnj9H90HmBLqcvbl1uxn4RHu+CvhJdf4MLEny9tmNWvpfSZYCFwE3tuMA5wPrWpeZebwnv9cBF7T+0lglWQycB9wEUFW7quoZHJM1P00Bb0kyBSwCHsNxWROi7wLzBGD7tONHWps0p7XpKGcC64Hjq+qxdupx4Pj23PzWXPU94GvAK+34WOCZqnqpHU/P1VfzuJ1/tvWXxu0UYAfw4zbd+8YkR+CYrHmmqh4Fvg1soyssnwU24risCeEmP5p4Sd4K/Ab4clX9e/q5qiqgxhKYNIIkFwNPVNXGccciHaAp4Czghqo6E3ie16bDAo7Jmh/aOuFVdH80eQdwBLByrEFJs6jvAvNR4MRpx0tbmzQnJTmUrrj8eVXd0pr/tWeaVXt8orWb35qLPgh8PMnDdMsSzqdbx7akTc2C1+fqq3nczi8GnprNgKV9eAR4pKrWt+N1dAWnY7LmmwuBh6pqR1XtBm6hG6sdlzUR+i4w7waWtV2yFtItaL6t5/eQetHWN9wEPFBV35126jbgsvb8MuC309o/33YuPBd4dtq0LWksqurrVbW0qk6mG3P/UFWfBe4CLmndZubxnvy+pPX3jpDGrqoeB7YneXdrugDYjGOy5p9twLlJFrXPGnty2XFZEyF952+Sj9GtB1oA/KiqvtnrG0g9SfIh4E/Afby2du0aunWYvwbeCfwT+FRV7Wz/SVxPN83lBeDyqtow64FL+5Dkw8BXq+riJKfS3dE8BtgEfK6qXkxyOPBTujXHO4FLq+rBMYUsvU6S99FtVrUQeBC4nO6P4Y7JmleSfAP4NN2O9ZuAK+nWWjoua/B6LzAlSZIkSZPJTX4kSZIkSb2wwJQkSZIk9cICU5IkSZLUCwtMSZIkSVIvDkqBmWT1wXhdabaZyxoC81hDYS5rCMxjDd1IBWaSlUm2JNma5OoRLvEXR0NhLmsIzGMNhbmsITCPNWj7LTCTnATc2vruAr6YZPnBDkySJEmSNL/s93swk1wMXFNVH0hyJN0XH/+sqq7a1zVTmapFHNVvpNIY7OZFDuWwcYchHZCDncenvfeFg/ba0nQ7nnqZ445dMO4wpANiHmsIHt6+myd3vpy9nZsa4frDgc1JFgB/BA4FTp3Zqc0nX91dsIhzcsH/H7Ekad644457xx2CJEmaRWd/ZPs+z72ZTX7WANuARcDjBxiTJEmSJGlgRrmD+ShwOrAKWAwEeGVmp6paC6wFOCrHvPG8W0mSJEnS4IxyB/Nu4BzgBeAm4D/AzTM7JVmdZEOSDbt5sd8oJUmSJElz3igF5idbv6XAla3t3pmdqmptVa2oqhVuiiJJkiRJk2eUAnP1tH5TwJHspcD0DqYkSZIkTbZRCszvtMeVwIV0U2Q3zuzkHUxJkiRJmmyjbPKzCdgJ3Aq8BDwPLJnZaebXlEiSJEmSJkuq3njD1yRHAw/R3cHcCNwH/KOqLnqDa54DtvQYpzQubwOeHHcQ0gEyjzUU5rKGwDzWEJxUVcft7cQodzAvBO4CrgcW0t3B3N/3YG6pqhVvKkRpDkqywVzWfGceayjMZQ2BeayhG2UN5jbgNOA84AzgfvayyY8kSZIkabLtt8CsqvXAOuAeuumxhwBrD3JckiRJkqR5ZpQpslTVtcC1b+J1LUA1FOayhsA81lCYyxoC81iDtt9NfiRJkiRJGsUoazAlSZIkSdovC0xJkiRJUi8sMCVJkiRJvbDAlCRJkiT1wgJTkiRJktQLC0xJkiRJUi/+C1jUOcbo5gwiAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1152x144 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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Qa17H29/qYALQ3JexN+6H5Z6O9/7+t0WYRcTq/z3jHu+5z9ePQH/J/d21fN3veM/H9d12HJfZAWEp8PsnYKHn9bhOCfJ0Jeh4GtyVtVwt/+5anYIlFYEdFCYp3D5Pfoxk5dpVGTrWUhw9g+m5qC3zbJx/49owJO63T/bWXBlI1Gnejj5Wtpzf/aWHO6TJ97CBvkOq+Pc4t6jWERAgrOzk56TawO8i2psKruWcBoD6Mb0HzIcl98fsuBYMS5kCyTgHqkcg1wy8UoMjyAPAHfiMUqPIteLmL9H3evwRA9cCi1cZ9z8uiD/SIu09rv6SQ1gI+ksFDFDfCfyOPmGq+azDqvgCNeepJMVwJnAHzlnXAakC4kIwnAHZKWzPeZ0qhd8KZu8Ufq+wgyLMDVID+L3CdYphaab1UA3QnxnkitcU5xwXNvD7/RborhXhqz3ktsL1X+FaOSwEw3kZhw6IM6B/lmFbrmFmEPRXGXmWAauo3jo0d1y3bH8MlvxOERclaRM5Vl3L9SZVQLXjeIyNlPWKYzIseB7VNk/7V2rKGtPytbiwsL3icOMgqpi/DmXtN6jWAeHMwQSd9gSJWtYK7q+S6UfZlvv7eL8m/2/cNyfAgucwBnv1Y0B/4ZEd4HcZ/QVRAtfpNPZslwHhuMtO4LoMiQrXpck3lZARVp57zcwiVYLuykxA4+El4A6C4VwR5wrbEsDOXjH/fBzzOgXSsSl+jOE4d63CBCDMBfPbjOQ5F0SB5DGdc2z4zP1Osfk1wPI7Atsrqj3n27AwcD33mGqX0Z8Z7D4ufkWJT0ws4ELkd46gqQ06ASP+kJG9wG/TtKe7XZiewegHjOu5lr1lXPPj0qK+HSYfMFcG//f/8098G9/FfjGBJwD8wyLy2wEkAGcA/uyX36CqfxTAHwWA5dUnmrwgVQ5QRVgp+gsz3QQTisMD0AHuMuLSw7bpGHzM7bQQul4x6DEDF+YGccYNKywK+iRcyPhAFWoMH2Yl3MgFMH1moBUFtk2IMwa3+w+4cKSmDNae6FGaTXAJ7FCC3BkHjO0Iz/h9Rmw4OeqgGFZ8TTI3QneIqHaODsagk0PvuoRUW9hDgVCfOGupFqDLcIcEVU5YqBZHwXIjScfsS/YCzQRoxoAs1RZmyHD7BNcmDOf++LCyTo7zGIBmK/C7ALUGgHkv6ITQyTEhF+QIyN7CAJCQkWfF8S8bvdsNDK6sIDszIVPJmwlsAIDUWLgdYR11ZnKQRAHTJ+S6DGxYpJqLeVhZok9Zy0LJQDtVZkJ8spdpjNk+QrJiuPAwfZ6CBgATajgF+gJoQZSSF5jE8RQWBqJAmI3PsCB8qhjO6WCNIIsJdJTGjbO/cvC7EgBnIC7slLl/GpDYQKdxcp5EoCZzPoTyswRgpk8wzpTAnMcwMfPv1kB6pl9MY1GvE8zA98HK5HSMz30M0qaNsiw6tuM9MokPb1pIRaCVpZP80CPO5gwMDkeHzO8iVOhE8BkkOjAl2B0zOX4XkL2dvjM1Bn4bAcvzCI1DteGCaDsGmCoCMySkxsF2EZLyEweZG09cWm5ydnTeCWzlyk7OdVw4SBnPHLsyASxmYMBKMClP4zXWlsHTzNIBLSAK4tHJheF8jY0t80RgyjJiejrtticg9Zd74CcPX+WcqSOkr+EOHI92ILo/bhgA4LojkKaWm8/sLb/v7FsZ1aMgNha5rHn1vU4OYPYMEu2QJycye1PYIwZhSYfD9hnSZ8SZhTsUkKyMPw6QAixpcWTBdWbM2I9Biu0IsFRBgc3xvlZbglpqG7hOyjzjXLa9wh0Ufhdhuzw5vn6X6HRUhmujcA+wA+dQbLgfjAFCbpSZgCYDe05ErTI0GWQI4oKBponjfeZcpyMk0LJUqmHWcETQUwO4PQoQyJ9xxucVKzqDI0KffHECSoBMx5t7yZjlAsagBNM6PgJWYWEYTEhZa8v9GZYCeEG1zYh1AU9EpgzdtP+JIJdM8HDmpvkLBaThfbdDOX5F8HEEOLk2cs9JjYMZ6KCkhoGQX4fipDmEpYPfBjpilYXtOTfHYHQER8c5lmYFnAx0ZNSZad+HQQnABdVAQC9a7iNun6asoQqDAHco11y+I1eYsiapkomhZHcWSQVxDoTlMTAPQZBmyiDQMWtHkLpsya1CIgNOtUB/pcy4GZQ1E8wyFWcPZR/JJcC3vU7ZLgaHPK/sx/fxc65nkDSuWdmXyHViHBzB6DgzcFmndQQo+4Md77UlMFoAoxGY5f0xUyZdhgxdmLI+52kPHfcke4hQcQWwNyVhkBlcG/oD2Ul5/gnqBP6Qkbwgzo/gmd9G+E1EagiApsqi3tBp5vwdxyHHqjuU4CzTmY8zzrVwrsg3A1JVQyOfWSpZqDgDmiagU0F/4dE94/yff25KVrk43Hs698294vDCTGyQ1PC7+2vA9IK8R/HDSqZrNmaldGJW2J4BsCmgW7AC13IOtzcliB04ViDHwGAco6YHYkPQpLsBmvmAXioMKwaEYSlINTC75fovUVBtDFwZk67P6O4NcgFW/UZhgzKQEWahTVD0lwVUDQBKkiaX/VUF2H5CVsS434S5wIYjiyAsDFIl01oLBYYzC4jAtRkmZAxnAoigXnPfNVERlgTJkJmCs31Gd+kmFlOqBCaWBIJaJo0CQZXU2LIW6wTSZ28mQGgEn1PxDyFk+TQPCdkLjx1Q9o5IADXKlDTpr2roUIBVBUR4/mT9MDnSPGTEmkzNeiOoNgmH5xYmFqAnMTEByWV8cY7HWblXZd+1A4GI7IDZPYNO13FdCIUJyr2Tf7eBcydeRxyiw7O/wv1vXNvV8DpTLbCBvmh/lSFR4HcyZbhNFNSPimQZvOaKbAATFcPSwhVgS53QxxpB9KxlHc9l3GRk0E+wietKVAvYEbwlqPW97BcTeH5ePv+fV9XbkWr7NzWRaaM1JZAbF2vJWtBXbnwTaj2zzBYW5G+cyO6QUe24WWZf0svgwgAcJ7NawAUuFqkC+nMGnxK5edk+07EqCGSuDYalIKwAdTohKRMFwAAmMNMKlGxnCQwlHZ31EbmGErEGmBUySWGGBL9P06LeXzIQCQvHIKkEiJxE5dZlZk1szw0FJYBVx2PYnkHrGKRNGZjacqNRFOfWEL2sTMkUcpPOMwO0dExMUgaPlUGce4gqTJeQS1AYl34KcEUBtw8TaIDMDYNBVCZqa4VIiAKS6HymugRLZSeVspmZoWT/xrFgCnOkOCTjc0JBnlJN8MJ2eUr3h6UBhMHnGHQSJeMiBhwzOGPwHBs7jb36ISHXgtiY4ixkOrUgetmvDJqS2e4vuFDFgvyJEjVKM1OyMtwIJ7S6zAM6jzJl3k3QKYhXB8igaK8cTAEmpusuG7wUAEYdHYc0dwQLnIEuPDOkxWFUAWCKw74NCOcekhVuH2EiF10JGcYwgFNnSsBQsgqWQXSqiGZDFSbniQIT5xbVI9Eu9QbNbcfsRhn/pk3Qcs7uEMv44DP3JeMpIeEpwyZbOs7ukGAPA9KyAhIzOam2sB0DWdNG5NrBtHFykuPSE6So7LQI2j5PG5gaZhQ4jgETmOHzm4GBw8rDDhluz2PmMdvbZ4SVm1BaEzhW3S5yvIYM8cwKuJSY7aot14ZMB9MdMh1Nx82oXzquQwPH9l1eYBMbyKNHdA5Ne9wcJgrPuJwWoCVXDMDU6OR0xYVFfyZ0Mr4t5TkZzO6PyC/XrwSMtEjlptJfONihBD2JQTozocWZd1LWKp2c+jHTPa4LYeGnLDfHOTAsHZHoVsuzzci1gd9EZG/hNwlxXhyMsmnzvhMQVHdkw3RXbppzYTFmhQrIVBsMZ4LhAsx0LhPMMqBpCGj1PiMfHGQwEwU3QeC33CeGcz1SqayFaxVxLoUNUvYWyORcZI9prI/ZO9sz0Bvf39wpn0sjR8qUjA4UnYKRrQOU9yTuZ65jwJnGIFQ4lnzZ00S5pnSXtoBhBtWeDr9kwEJhdxy7+5cC19PhV5GyL3BumLIfAYA9RAwXFYNiJThhugQTOeZNR9AmNoJUWVT3A/etlGE3aXIAbU+AAA7QJ7wz25ZnrZzjYekKa4LBS1qUDGvU4pRp2QNlYgjEhWVmOR0zafUD32eHAsa0fGapovOsxetp3hrEMm7qe0E4YxBBAJB7PDKDiRGIjA1QbQVpQadcBma6RrAve2FFigEQUACpko0qwczIrR4zSCOQoAWQio1AO0CygXUlUxZ4D8Z5OK0FAiRLp9p2nHepMvSzSokOAaFy05NOIL5b90hn1bSOqBHk2tI3yAbmkGBCghkMTBcQLhqEM89ANSj68xLctGaiNPtDntbL7pnF7D5N/s9YFjWyItQIuiuL4UzQPWNgGa8GIBjIPEJ7y/npMyQaSC/ITcY+CqpHfqFEgSaZmALuwCy1isAdBH3nkRPnkvvqDrM64PFqwaDn3jHIGQRxrsiVQleFK6sCBIFZRBijyEnQbirUby0kAnGhUKfIAOJMYTsCE/2FoIfA7+mPpmZcLzl2/JZ+4u6rivSix+rigO1mBj04wCrcIiDd1Xj79QgkQZV4b8fMtSQCHXEOhPMM9Vx/3cYy4B1K4mahSLWieWcKI69k9CtAkqC7YZZUkkCNwu9L9q9k69OMe4p5YLCbS2lB8lLYSMpM/45r1Uj/jDPABAvXGgzn9H+7jS0MgDxlKiUp+guuQf6QERaMxNUKUpk74dLAdczCYWYQG+6Xceam+UCWh6A/ow/oulz8LT7z1BieMwoYZzlO4swi18U3U8BGMslUuN/FmUVYGFQbgvHhgvtWqg3CAghJ0F0LXGew/TqjOtsKqjXHwXChSBUzolLWkFQDudKypphp3xjB0eO9AaDcy12ZW2OG29052FZweCawZyX7XWi07bXB/G0u+yqQN0y6uD1KAI+pBCFb7i2hLs9yYco8pY/gWrIbTJ9ghoThsi7+C327sKoKMJwnP0sSyEQcMuLcwnVj/cHPt19M4Pkfls9/RUQ2AH4/gP/6L/QBOr10yE1QLD9zqDcZ9ToXRKJkCsDFeDhzU0DIQe0mapsUaNjvFbOSHVRjC6JJhKFec2GXrKTMON5YIm5por3SmbAQq8w0Zgu/B+r74kC0R5QCoONge9KpwlzgDzohXNkWZKPUpgJjertswCVQiMsKYWGnIMkELXUDdPxNPDr19W0PrQxStlMNgS3ZKdsGxGXFzM/CT5t8dlLocgw2pVBV1QjE6DGj44TOfMjIPRGiah8Rlg65sRxY5XzUGpguIS79FCCOWYfsDTetfaAzPATkxpYBWdLxAqg3UGchQ4bbB6QZndenFH4itoDdDMhzD1XA7QfkxjEgK4F7nDPzNcBj5KXbAzdZv4kTBVmyTsjNVBtmSEt1h0SHKyT0l/X0vEhblqn+aliaCQhRM6JKRJrHiewPGdUmor/wEwo4UhNJFTNTrUG1SSUI4uJHB5fjSqBAYKAdFhVcb7D4vJvuM5LC7yODtawwfUSaEXUxfYR6OyHWKFloqB4DtazobmpYLRTkihlB9Yb3TBUKTACE3xBosD2dB6iWbIchsDF3cAdmDG1ZqNSZgqArtLHMbJXMq2lJs82Nh9uRMyopw7QBUntobWH6CBgH0yeOHVM+B6LCZuAmkWeOSNwhEByJzLqZkk3lHEnT+CNQUrJBmqfAXCIpvKlxZa4XR3zKopaxlBT1/UCEWEwJ/PhZVSnZ0zw9f4kKsRk+lGzA3GD/gUPzWMCuDEgtCLWUTIfgp7uX+Bub5zCdwA6kb7FWiqBbtUtc4MfMOApbxOnE7siVlOwyszdxYWB7XhezWIWeN9acFupq9cjAu37kBtK84boygmD1bVfQ5Hqa12nuID0dWmQgNwyu+7NCLatKwDY6AJEbpRvyFDDnAgJxjNORrx4HqGOmNJXxnMvmd3jhEUpZ6vzdkQpWrRNyJejPbclMKvKMGZQ8WASjyJn/l+Kk+R0dLtsS1FFL58wmTOyHsJQpIzYGjWNg6g4MbEjTJhAZlgwGJPOZIQuSfxJkDnQCs2cWGsBU48RsKNcoCSPtDxMAOWYa1JJCN75/qvMsmRyWBJSsfeS+Y4cM15EK57cRYeVguzxR5m3HMc9fBM3bFpIy4qo+0ttUp/lqG4/sCwsmZbhtRK4cTGC2cgzIUFgR4/5kunSk3Fvh/rR0BdxV1HcDtDJThiQ2hWlS7mF3YRmMGmZjIAwUTVKkWQE9c3EivRRaatkCPOAOCszoLI7ZKgko7A9muKQAKmHJZzw6rWNWOlUEC0Yq+EihFj7u977LJEx1taSOMhM2shgATJnO5sC1qtplqAVmt2Wv71m6gKRTJmYsrfEqXIMNEOaO7JU4ApalZOesggsZMmSWwywIzo172vh8CXwK7ObIPEnzCibmUpLAtT37esrAM6hn0CvKMdrdCEyymN3GUlqAKcMumYDtSJ0MK4XEMbsk0GSAKNAqQ6oMs4zItzXPz3G+5Frh9oK0cxzPh4xqTRaa6xV+Jxjua5hOUG2Azes5+nmC9LaAGILsCTDlhsAGskCsQqNAokE+OOQsQJ2AmiUu1V6gfqxf5TEwzllwXreljtodClinpNGO9PG0yDBVQu0jWp8YfDjuuzpLsHVCDgZxGItnR9o+1x47CIKWexoErmM2VSLHaLUWxJlgdksg0kSuv7FkOeefs4RsrBs3w0gp57j22/J9BeTyPQp4cQyAm7vjuuUPTC64Doh1AXgKbdp1ijA7BuAmgZm2gTRRb3QaQ/TV+f96mxBrZvpsr1Md5BhwjntFnMk070ifLT7aE1r9CGDRNwbEmAnoH8vDpDD9JGbmNAwzniYmuDbDtUAsAbAaBoJhDmjNyE+jQa6P60muM1IqjI1ZoYVXhTE2GJhekGYZ2mQuGFJihiCA41iMB1OSX2X/sfRNCR4JhguFHXhsM/D1VBVwtCb9N86A+oHnkEHgrj8HgEITL9lWCP2V+lBKuYQJMIgwQTEkpDl9/+xlYnxBBP6hhZo5bBeRKwu/KUjE97C/7cBTVaOI3AH498Ht6M+q6l/98vveq/FcXOLh13u4Vifucy71CO6Q4Xbh6AQbYPZmYJ0a5x0vvNTDmVD4x8VxdrsB6hqYRISweSiUrt3olB1r/KZUcGY2wrUREjOqhw65cqgfetR3HZ1aa2ASHdSnWUhTFvNsDfy6g1ozBVn2MCCeNVxEhzw5urYlPdC0AQgRkHM+6EI3BEgzlJCQGw8zJNg9H6C538NczoFSB2m2HeAscjPWyGX42wPyvGLmx1uYjp+VpEDOSMsa7rHj+fhjdbx6C+kDtPaICw9zCJgIuKpw6w7D8wXcYw/1BhINmjcb5HnF6+kS1DMTah52gDGAs6je7qfvURFIShPtUXJGnnm4x34KsJEBf+ihdUG+5xXcw2E6ht32cIWep9ai6iNgDOqH4kyPdL4h8/Ml+1uX84irGn594PkB8LcJueF3qTGYfb6FWguzPaBqGISmVQ0zjPeTPyUk9M/nMIG05zizJUAbEOeedMI8ZpwVbj9MGVy7GVhLeV7D7gZAGlR3bXEEKmYdy/fJEHH9Vw1MH2G3HeLlHDaSPoohQVJGmlec6Pe8T2oF6i38QwskBllpUcEcyjgKEbJvsToMHCvrA3RWwXQWZttBGwbN43XmeQW1guaLLbTicmHaQOeyjC8bM5wqIfuSoUYSuE1HdG8L6Mwz+N32yI2D6SIX+SEizyuMohUSUvleD9PyumEMPxMKFTgmwBrozMPuB7iHiNxUQM6wt1vAWmBeA1bg7/fI53NSezLHnRrh5y1pNmbfI888HaoSINdvD3SuZp73W8G611LPJtuAtGpgugBrSs2mAP6x49iuPeDMe0GrCjB/k1grvQulZjXBbyzyJzNUW65vh1wh5MIOyAxMRupN8xARlpaZQkdnM5fs2lhXbBpB/XOJ1Eet0dwJ6vsIvx0QVhWyF+w/9Ji97gtIVO75CF60EdUXj9CG89u920CbCqapYAZ671XMXHu2PWzryFypLbIzqNaK4bzC/DbSibXAsDIF3WZwPCwNndpCFQwLM9Ghqm3mml1zPR2zYXYsiShZeNeWbGBbaqBLEL75isPhpSJcRiye71EBaPcVrFXM5j1yNjjkmgDjlhssMo93FF0A+uuMdJbQ/H895/GBf7NBsf/QwG8UY01fcwf4Aymv1Y5Ap5riAO+J6NuBGct6w/EQ5gZ+N9ZCEgzNns6OWkwUbL8eSAFXYNFnICtsyJgBZY6DAZoT7o0lyz4yO8a9ikBbxov/YJhqqWyfYXdck9LsCOCNYK8MZNRU7/bITdEB6BNMSpC2h297NFfUKpCsMIehzNEMH9JU/5MbBxfztK5JSJDtAflqNYGB8zZMzzbNK7iHFm7NICctKrKFhoRw2QClfnBkDaRKJlaRisC3XHsP13aqI3Y9gWIdGBSoAcJKsfi8UI/Pj0E+M9rMUI1jIs7ptKcZ4IqYjbpynAWDEJan8G/dldDZK2KIfAYcZ3EODGcM0oYCPEoCOCyZSRpKzaHtMFH4xlou1zHQGhkUrD0dQSgyour7lgCgCMxhgL3dQpsaZruHNjUsAJ1VkD4hFwB4rNP39y0dzm0H9Q5whmuoMVDHuesOCe6Q4Nc90oJrR/JkU4WFQ30vmN1GgqSBa6hWZnrP/A2p+3Yw2B9KtmfroLME2bH2V3oDe+vgtyOjzSA1DDjNI+9p/wKo11wH602p+bajgBqPm2YloM0CbRKqVx62Z8aUGXcGbf0lnynBugzpS3DceriDoLkTVI+KXqXQJwF3MMi2rAP3eXrd9qwR5bof4FuL7pyDY/kNi62p8G7rAU9wEgA0C8Rn5MFCg4FahT8YDBeC859LaG8swmVCPJMS8AA6V3RnIC2st5AgsNc95vMe95+fwT+aIv50ZLmYoWTKCtswLji2uyuFHYowlQM0kLFxDExJDbeBa53fA9W+XHPPtWh5G5Aai+adYKw9rzb0D8a6YHVMfLiWDJlqGybG2XDh0DyQQl/1pd6w1MfTtyLIebgxmN1muE5RP47aD2X9KLX3I812rG+E6HGNTSx98dsASRn+oaWvNERoZSZw3+4G+FJyYwYLvxPsPnTInoGdORDIyLVisJnMgwjYzhzL8oTAisSSZa4UOsZtnSlBH6m/Iz0/NZkU3oFshuwZCLl9AaMTsHjF61x9wdIpd0iIC4t3v9mTVvvA+Me1QC772/xdLBlmTOtnnDGBlmaFYt8RILRtLH7v6DMfoI3juhgzEwRA8Tk7mO0BMq8h/ffOdgK/+BrP/4yqfi4izwH8eyLy96rqX3j6hqc1nvMXn2icgRHyjnQBv8OEvAJ0Ts1Ix9ORwmkpzLEOkGR5wV2g4zykUjdIulZcODhXhHDWCWFZHMxSrK8imL3tC03HFQERQbUeIDHDplDognaq75LIjNlINR3N9Al5YZiNKShxrh3iqoY9DIAxCGcVayAOAzNRzkBCAsQjzjjRqvUAd9D3Nny77vj+mYPd9XSqtz3ynBuwrLfQyzNu4PF9dCGcVYARuJKZkgMDCqKL5BbkRQW7o8MtIUErh+wM3D7AdAMddE9qG0JE9fkaedGUOsuIeDFjBsqVAbg+AHWFdLWEXbeTEzvVnKoy6DSA2bS8xiFC+kAH/2zO75tVSDMPM6bpU4aEiPj8DHY/AEMsNS92Qtbtpi/BS4Y6jzi3qO/j5CSPgby/P0Brz+vcdCVojlNgO2bWtKmRlxWd6n2P3JQwPGbkuQf8WNcSGazMWcPwZZqZ3wQCJj2poBKBcNWgerdnZt0Y+PuOwe9YRO8NNBs67LVnUOwt8CT4QTwSUt2m439yhuwGJmXNEmoMn3U/QBpHZ8M7wFro2YL3tSuU1y4w8BOBedhBZzUdjSGQBF05vieDAhXOwPSBAaB3YIk3SOUNATqr6Gg+DtDaY7iawa8ZhOZ5BRTKNDOVPVLj4O/IW89zAh/mEIqzo0grjlWoEjQoG6hpy3mHCGM4TuHdFDTLboCECLPruFb0gfdyBIHGWpNRqdEZuHUPOfSAd8iVQ2oc3L44xFrqz6wAtS9ZWQOz6/isRJCXdOQIsvB7xiyq25eM7UDnXWc8flw4pFrgPw9o9gFeEi7rA77tFe4gk7CVP2QMKwvX5oniOtK0ucEnuHWPcNVMIlWSFPVmFO0CumtXMjSAv9sjLwiw5BnHGkYRpabiPdt2QNdDYoLJCqSE9GzFbNf9vjxrrmW5bNbDucewslNm7nBDulCuSYNMtWBYlVo8g8n5GwV2CF+T/jwKwQ1npG0ennPL6i8KdXgG2M7BJEW14/0ZzoG4ypB5ZHYzC6xPcC6jdglZEw4owFIFqFWYUGizpSQjL0iL8ssBED9RybJj5oK1U9zU40zQPCb0qyNoWu3zJFox3ofkmRVyh4Th3FFcIikQMuKC9eojDQ1asnU1yDxJOmXg48JPgKjtyUARBUwZF/YQEGd2qkeWQvm1Q4Z/6CCHHjoj2KMinGchTWuLeu5RMsQCJlnIoYPIDDrz0EaADsC8gWz2mETaErObsidYJLsBWnlITIg3C7jdALPvOd+yQucNzLYFcoYuZkjlOgDAtlxv1AvUO66LRmD6iLBwDLaywhdGVFjZ4ugzYHHtKBZCQMOXrCNrkMmUqtZCAPtAGrVrMVHas5VjZrSAC27P47CWsQAViilTBzCwlARUa34OD5jGhBqB2wNjbZ/f03mMCymgK8c/38uAYKTISlZUrR6F50qZiTvkie4/CnxVj1xTx/VSBq7zWsBU3k8Hs28ZeI6K9CKQUitPwE0hu4R8OS8goULaAeLsVPLCk5Mpc2p6glgqAr+nTofdDIAzBPhqD1PTh9NlxcyVBeoHV0TeyOqJczry6hVhlqGO5REAUK2pvTHSEmefW5ghwu0SgAoQYPbqgP2LJcY6SNsC9iCwB1cCTgbzUuq5Xctju1ama5JkpmwhBSoFtlXU21wYPTKpqGpTsooVx8hYXkMBSp3OdQRJOMYN0iIDg0BhkDJgVoHBp+EzMY8OEoDqkVlu2wGmLYMtFb/luofGUou3CMidQ06CWRWwXUTouqI+iTC7SyE1Xn8s5z2yNmZvGahXG5YFuAMDFnfQqYSLzEGdMqK2iEqZQdFdW+ilQ/0QYXs+s+oxHgUm4zHwy446BK4ng6d66I9JhpALpbb4PamIHQrHmPYGy0wBp1EzwW9T2VCOWhSpGdmEgliy82MgaoLAH2JhcyVAE/d0IQMjrTzcEGHvNxBdIa7qMt91ApxGM0EmxgqvE8iG45kvlOx0JIWWPggD6mn/KaV5uZRO1Pd2Ku+zHSCJ5X9uTwBgpM+yNlgngUgTFJc/nd5LtAHAbJtYbtgQpIszM9We+/0RlFAnMIcE10VIF5HOG5hDQJ57SGiZRABjnTHuMY97+l7zmj70rHpP5PTL9jcNPEXkjwP4vQDequpvLK9dAfiTAL4mIt8C8A8B+D8B+LsB/IXvcShSXHe8qa5TzN4o5repFJjnScAgewN7KBmGalSkSjDbDuIdwrM50YeOFEMJCXFZcUModZbVgZQrySzWlXKz/ZaTIHsigfV9T/rfpj0ierMFMxnrBLPeQc8WE3KYawu/G0gvi6V2omQQc2WJzBekOVd2Ut+Mq5op/N3A/2ed1FVVBHY/MKOUC/I18zC7DqYbpoBMiygTVIG6Qm4qmG5gEDEEBgylTk2K0IAEZock5ikYRjj+fXTeJRQK1KHwfr7xGeTrH0FdxeAiRH5XLAH2csYs1BCRFhVcO/A9B6GTUoI1GSJGQQrTD9B5wwxSzsjzGogJWlfQgqSOji8dUlJB1VfMfI3xVogwJYOKDOTaEyywvNfZG8SFL/e6gswrmJCgtZ+CgHjewPTMdD9t48HBZngfhgDMGMSbkhWYnlNx6nNNuvZIW1YR2G4g/bVx3LBDAmrH7M6QkRtm1yRlCBhApXl1VG7dtkiXC5hth9ws+bydJb1t0x4R6JihtYW930GdZaYvpUKFS5Cuh7Q9bMl4SIgMYNsOmM+AsTWDdzDrPY8B8HmXQFQet8zo1R7S9Qxcawc5dPzsEJBvzpkZ8RYqNSQk2C054Zw3BIbsoUNaNRBnkKqCkF/MASuIF3Pe+scDz9FZZLHQFcEOpExnWQslawjIqzkDYBBx03kF6QODZACSMvLFkhRtI3TC2jCNJRMi8qoBYkKazSh+NURIiAg3K0hIMKVuGlbgb7fIl0skZ+A6vhehOOeVgzYOZjcUuqadKMDusUNeVhTUKmp5aVlx/AHwSVE3hba88AhqsQs1oDI5oiYdqc9jXeAoOJPqgvI2HpVqURplNnf++QFxWRUGgMP87VCykJ6Zs/sdHdHGTzXUZnMAYqIvbQR6sSJ45SlG4z69hS5m0MpDjYE5BDhV5GgJRi3dVI84iqdR3RMIC9ZdmoFZHwCT0Er9KEUttNR/tnmqu1m87hEbi2pb6sUt0D4vtVkeCMsjBYqZlYyqjjibd3AmkzqugrkP6KPD2mXk4jjYnnVeUkRhqFBOVoX99gLVutTEClBvuT7Nb4/ZtuwtYs16JGkxOZYAps0/OwpGqAGp+MoA1CRmh0ZKvu3S5AyEBdePVBnSKFWR5g72EPhcLDPqo2L5yBjKlYXfRtJdnZkoUvYQkOYexgrX1pg5F72B7QPMPkILyCQ9x7VWnPfaVNDaEuDqqZAqhwF6vpwyWvZ+g/T8giBk4rouIQKZZRXSRe4fIlzPuoH7nbVc/72FfWyP6rg5QzEG86ynTovqqB5uwHKVQvGM9UipYxAVziiAEmfMEGZbRKEi6bmuYyAXZ6U2/8DvyVaYeXTFn9BS96k6qRr7PTOQeVSnTEB3TWpjnJFKWK0Jro9tO0ynk3M6tvgxAXDF6RszpZJLUKqYHGW2WGDAXq/TxAJr3h6QZh7usUNa1TzXLjKb+dSfsFz/zCPnu/RDyazLxK7KFUsysrdlLwJQebg3a5bHlP1Daw8bIkzjJ5/EBC1jg+CaE4HaqgTZETgkICXk8xnXr5qA3lDViI1BWI5UxCK8VCnUlw3fljSyed/ZVwPYluqv3Ds6dDd1oRwLwkqQzwJyFgxbT8pjU4KvRGXbalNUPhVobwRhpYWqCaDUy2cFckN9g+bOoF8ZjO1nyNorbkNbTndQuAISVruE2ZvCiPMGJgGalIq8VwGrywNyNrAmI0RLkGyeIUJaZ14ZxGiwFw68w0eK+is7DD0TCb6KqKqIlAyMYbnHfu8hBtgcqBNge669qRY06zHY1hK0yMRy8FtMQmyu01KXKFh9J0z6EqKsAUQBb+q7HnHuMGoELL4I8Jsew1WD+Tv64P6xgOuFeZcbsojyyLpTJbOv0GXrdVf8v4Z/llIu5ugjigLZkNr+VJXV9kdVZy2CiSMoyz1mrKEX+F1GagTZewZgQwUfSUFXazE8r7D92GH5hYH/wkxKrakyCEuD/lIw3AQMVwJ/1SFnAwGQeosUDKmzLgODAZrM8raB9PGpBG8QZuGNwh0M7EGQ5kox0wxU2ZAuWzKoRgt4UfaRek3QzR8YVPeXRSW66CnEGcEzv9dJUG4U7RsV01Go1yN12W8jbEn6mE3LZFNIMEOE2ZWE0d0WsmyKj8U4QhcN941IzRit7TGW+C72/WQ8/3cA/iUA/8aT134CDDD/qwD+MQD/YwC/A8A/8wsdyATF1U8PCAs+xGZdENqigjVmhkzM0MrA3O0g85qDaFkBjouP7QpVpwtwITGISBmxcqXgvqSc5xbZk+4RF8xg9leeG9BM0DxkZN+gvu3Rf3Q+TcDqLWlFee6RVtcwQ5w2QrftYQ4DzKFslG1k0CoCYw3s3pOSZATuEJAHUnrttmcmJES4mCEpwX/RIy/nHIjCIMB0cQoupaea7CiawAdbaixEmJlse2jl+fmYGJjMCk8o6YRCowShciAabd+tAQD5csWgY14CsUNH5+ArL4EuQLyF7Fs6miIwhw66mEEyKaGmDbC3G+hixvPfkY9m1nvk5fy4Mb19QN7uYC4voPOmcNoFqDy0cZNAjoCUWnPokJcNZHsAZjUdlV3LAChlboDzhufxcIB9wHQvp1rAfQeXjteeZh62UMHiskKaV0WwhgtfvJpjVBF0DweeW6HYpvOGta67Dlq5iTbt1j3Bj5RhBmA4r6bxrr5kHY2BKxls9RaImQFsySirc5CUYdct4CzS1XKqLyDyn6GVg1qDeL2AW3dAKAJAIxUKYFZbSJ9FCezGn7qcQ3YHBp1NDfQDMKshQwct1GM8boCmobMSBRIT4CyRcmsYfNQVsxQiHHcAzIH1t+ZxzwWoBKQQgX39APNYTeIV7t2Gzy2Q3o2YYB8FedWQftsHOkbbA0xqIP0A3bfQD685B2Lma85CcgYCFWxlXZS+RkfWGs6dkGDbgch+O3CDDMqfOcM87kkZdBYYSLlRayb6qQx9oa8HwDvY2w1kNeO5HDqCPSVrLONGasw0p2V8TrsBuqpZl1qV2umS1VWbMXuVy1gwSGpwCBXrkBIzMX7HllNhJpi/CkWRr2R7zhmQ51JLSbTXABmIy4qAXla+VECoUFRE82rG52no1JrN/ggyhEhAyzsGIP3AuVf5MtYEOtJh1x3ixQxp4TH7fM8s954OmmsNa6TBYNO1DDy7ZzKJtgBAfwXYTtDeWFRboNoY+ENRPAbX8n5l0D5nW4R4xlrhcOdKPZEca+WjIHQOb7szbq4uw/uEuySwVpEfakiUIkSCqTWKRCAaBsDNLTUBKD7EkxyKyi+FLkp9oWKi1aZSz8XavbHVBWAPCbalcI5rWUMfVhb1HenjFINLJXOQAFjYdSCANS809UNAWpTyhr4IafUJPpU2Rn0AKjspgUtIsKNSdxF6M104slAGFqe7QNpsnjcMULwnLT0lmO0e6eqMa/36AHjHdfhsQZDr9gF+BGXPF2RjrLeQqoLOzLTeSB+oeDgyFoZwnMNtB6Ncp9EPMIfMtcUIQTlr4O9brlMGMKGsaZYKmsMZ6XtxXlqpWdY4D0s6+stXpO11V2ZqJTAqhEoRb7L9kVmAUqMVC8XQtZgUoe1A3yEsSvu0wJZuzYPC7xjcMnjFlK0YxYrCksFodiXwlBIQj1mNwPMa6+BGG6m1Yx1uKmJcfsM9xD12iBcN/SYRpLMadteT6XE2h9kckG/vYW6up6AfxgC7A+zDHjJvCLZmApuyaCDFyURdQTdb4OqCfkGMZEA0BLnNeo+8WsDsDkfgsvgj7bWB7R2ab3TIqxmQWWJh9h10XkOGCFdZ+NqguTWIc4Jo7EMJmN5OTAN34FzsLwWzd+wYMDEUlEEGrGBYUeW0eb1HnIHeeqHL1reC9gWzR7aTokR9VCce25GMvVvVcR4z28lrCwuUeumR1kyxH9sJIojZDkuD7txQfCoLDh/OjvWEiVk6GACDQXuoKX4US7ASDGQWpyyVsYo8WLjDUVRMVdDMBogoGh9xPd+jsgmbvsHtbgG7tUhWMYgeFbUNBYfiglm4asOWMOGM4ljj/WRGD5MwputIjx3F8Z7WTKoRyEWFOGMZARQQr8i+md7j9xFxxUz78MzD71grKH2CFBV5GzLiRT2BKVh4hBXrvat1JGj32CG9WGDshT3a/NM9QvH/qaVhJuGxah0ZsIaE/llDZt4kqpmmtnSLnyu8+SEAlUduPKrHAUsrmL0u49oIUlPaodWetN+dhURBmHkGmE75/JKUoNJAggBbe2QwCKbSgpFeT2bUWINO0dVxbTGRwk2uY8CJIuQ0tuvhWnLcg8b61rEl0RhwmwK22b4kAA/jSZAJE+ZmqtONC8+1pfKkHWdzZE+Esu/cb+nzA9B5RSbL6EN5xwA7HZ/Tl+1vGniq6l8Qka996eXfB+APAvh/lmP8CIB/RlX/3V/wWBPCTCQ71UTYyPsm2j/JfZdMjIQERIHrWyAmiJIeKaFk3hpmn9xDCxlqmFI0HxauOGGjwEhGmtERqjcJq28Npc6MgQGAotway3G52Use6X2sYzTbjg45AGgFY7mQT9QTZ+DWLWSzhzYV7LjQg1kQKc4cYkJ6ds7AaXOgk+wd5HEL1HQkAUDaDnq2BF69BT58jlyCLXWW2ZYQgVkNhSMiqcrzGymEqgwarRCp7nroagE5tNBlobdWfqp1hAh0OYO0hdqYAZ03U1YwPTuDfdhD/YyLx3pHFOvZGZ2bQwcdBogxkFkNDBmwBrAW5vIC+dn5ERnNGbLZQ/zZFHQSUOgZfEQ6uRLTlAUj6svA0xzK5ujppMh3voBcXzIT88Ub4MPnzIjtSQm1ZaPUuoIrY2cUSkBB2ceeRe0nZxNVYFhZ1I8RgINrigJpV0SszuupF+UorBDParaIeL2F1gxekTOzaUOEbA/Qrod+/JxBW+3hHnd0tmKCfUMgAImLJoYAaXvIYsZ7CQY9KMH+KPYxBV1fvIG5uiT1YVZDtgeOq3FMpMy5tdlPx4MIcHkOVeW9LRRopMzv8o5j7u09NCdI01BuPCXEC44jcxjoeKpC5zX6FwsMK9IEF9/cUlGxYfCWn50RKq5cqT1umdE5X/CaZzXysobteuDyjJnSlGHLvNeGjoscOjrBmVlhFYE2zNiafc/fz2asPetI81NfWqbMSgBe5pLOKo7zyIAU5XmYPbO3eVHDlDooDIHjrIAJBKOYRUBISPNmorIjKfKyOMtF+ZYqnxQZiwtmCKWshX/+za/Dp59ew3fcQKp9Rn3bIVzUgBLV9PcHUtetUGgsZogStDPbAX5DoSR7iIiramot0195zF6Rnp2XNWnUIZGaHYcJuUZdgL6Y+P8QGZycL6e17KkiWK6YGsjeIFw2yJXBsKLSYJwJhjM5ZjIPXNuaW2C4oCjGuGkOlxRJigsKR/TngmorBdUGupKViOcJsFrqaxggjGrikgB7oLLw5fMtzmcd2uBhTUYXHGKyCBcD8kNVhDVK64AerJMZVVC9oLsCVp8dM0zcxNmjc2yFwnY7wFDqZqp9Ls4p39+866mk7IRtL/al/tsK+uuq7IlKwRItWgJFKXCs184zDxkijDPI9RNGQiBQkl3JaPURkkjVB0iH4j3J3LuGwLKGykFyhuxb0l5nzJYhJOTGAI0DOlCEY0cw0+xb6NU5tKkmYAltRwZPUrjHA+TNPfTQcm2oPeBI64QxZd2m6Jdu99CPbghgmCUpnP2RxSD7luth2VvRKeJFDbsPqO5a5IrrMOxRu8F2GXnF8dCvDKpdnlRi68cEOWcAMmaobM9M/CgclB2mvopTSy3LoDMsOV5jI3xPyf64vSKsUFT2UdSJefywYsYhe5CZU4LN7oasjWoLdJ5zfGz4bltS0odz1s+ZQtOMc7ahcy0D3vaqgt971nruq8n55Hwz8EuP5luBvsWshrx8cXxmMQG+gABDKPt0hMTEf5tD8dcEsjtAry74czED7g6Q+QyIEdIq8tUK0g7IyzmzqMaU78gIZ0B/4HcAM/pX6z2PezhSrt0+4ew77C8bZ8W1KoHgqAo7tqRp7tg2gvMoI9fCPrZWkJY1hiUDpIuQMJxnfPDBI7rBI3z7alIXHWn12TMw1LF6Skm7Tb48fy0B6QFT+xXbMdvdX2ICMfyawZ1rgf782F3B74HYUzzQtUrftbTYIc3bIz44oFHiWqLM9AYDKdne1FnIzsHvMH02DA5BFJoFobI49B5D76EqSBuPi28KhguPOHdwe8H5NzIOLwzqR2blswcOLylwhAKImKL2LOXedM8oYDS2ZGruCIpw3vB61ACxcZPibbXLCEWRfGo9NJCJMvaXhDhUG0WYNeiuii/VjwDdMbvPet2E/ooxQf7qCsPKTgwaAkaC/mJVWAQ6KcWP5RCuU5hAlk5f1gVJlj1iNwbZVVh92iNcU6XObXuYuw1k5tG9mKE/N2jeGbIgRaY+xK6lzkuaZdi9BTrS+1Go8WqUUVFgLacdBKYrrIdSWzsp3VaYROsmBsSmzON5USO2Zf0YASmDyTedRLtKdwnJbKGX3VFpGODnTCQ4OnZQ4PPJ01rGtmQGzTv6Mlrih1w72EiGohlYdqGhzOlDB9uXzGY/ALMGCB3LMMJ/8qq2L1T1LwL4zSIiAB5U9Z/9bm/8srjQ5ise89uEx5c1i1kLmidFEmxYWVTbhPqWdVkqKHWOAze+eVMQlBr+/oBR2VUtef658WxpkI7tDlJRZ/W7hNkuwN3tkec14kUNtykZzJKdIK2IiGFaliJZZ+hoZWaV1NTMluw6SOW4sPqmqE1Z9NfnqG8r2HfrCS2GKs+/qXisb34KuVzScT20kIbZEFSeFKV9S3TRWgaqqyUzMYeONKblnHVoTU1KZaGsSv8kvd120PMV6ayzBvGsoWiQswhf/4ADcogcUF1EWtVTliafzREuG7gN6zLCVUPK8NKjCYkqdx1r3HQxg33YEwEfAtHQlEmlKnWAeragE78utYbrLWS1mDK77vUd0dV5w6C3OCoTqlJEb0aqljYVZJ9IL80ZuiZqpY50U3NzzWDCGsi+Rb4+A0QQn59PtDCcLxDPGghkUupFZrNgNUB9V7KjMzrSrLehmNBw4YjG+WO/NACTOqCEhP7lGdw+IM5Z1+Lv9nz2qzmk9OnUkdZUspYyBAaDqpy4IULrQne+vQc+uEGeeQqG9AODI1Uo4jQGzNUl709MDC7HGsYyZqQb+KwyaVMo3z8BFloKxrueY9saiJlD1EDDALm65Nh6WAPPryfAKJ3PSO0ryLvtE8ysiMaU8ZIrC1yvIF3kWG47mEePfLFk1jAkZs1ThswqhI+uYHd9oZbymvPZHLnxsOtIp6obGESGCF01E300Xc5htz00Z4TLGbwqGQKzCmg5Nif6WEVqO4PSiLxsinPvjwtoUoy0ehRKal41pZ60BbxDul5x0TYCNQbdzYzN7j2FgGJjIbUtSLpMAlWj6q/UFpu+gvQWY79BijEYVO9aVA9mKgmQzB6lbk+QwERmLGAN8syzhnPZMOgcM86HjP5ZjbAkQMKNshyrjLN4PoN/9cBAe3ROQ5yAMgIozABnEd6Xkq31jz3isoJrI/qLGjbkIrRDMRQKHWQqDaeMw8tmaiex+5CslOESR8XY0mQ71cAwk9Jkm4GlRMH8lWD5Bdf7aptKj2SHrjU4iEN34WGNQkTx8WKDyiS865b4LDiESyBIBbszSHNg9kqQlqQ+xUXpxWlKgNII+zAnggP9uWB2l1GvdaLNhgWdHFPUikdnKjXHFidjy6ewtHD7Uh9TgFbbUlkYAjS7APfYIl7OC5NkwFBq1vz9gaj506AyKsXT3m6P9TUZnDulfn8ax8Wh4Jeb4vD6qdxgzPYjZ65LY+Z+OScAESLBTO+AtiE1S7k2i3PABzecvylP5R9qBfbNI4+RIusE89iEHtDxWkYQxLK0AN0As6ihNRVYqS/QTLoLAJ2uOGftc7WO6C49xlZpJii6KwPXmakNmyltTFLFHp5HUR8weEsodYcch/05HcH2RibnP84ZpIzZsnBGxoFaquGHMwoX+bUgNXQ+U8X7MJyXMdOyVrG/YlsMuzNoYsnCzoGogBX+3l+VzDuohjv2rR1/Hm4M/F6nzIZawF8tJjBMaw+sGph9z/U/RAaL3/kCmBfaXFn/dTmnQ/vqjmu/CLRlKZIs5tDFDHlek+USM+TNPXBzxT2jdkiLGu5+X2ragHx9BukjmSqV5/7u6Pe4nKEvz3F4XqG7Ys0bWzoBusIU1NgOE11/DECyZYY7zoH2mUVzm9E8ZLheES/ncK1gc2gw9B6+YouLuOC99mtLin2hQWdXAv4zRZyztnRsVTJmH2UQ+DUzWvWjTorSccFgaRxL6lCUi0vG/EmHFvb9FXTPFPE8wi4jFotuottakxGShbcJfXDoe49sFbtPKtT3JRC4q+AOZLSksh1IOc16K7j66R77DzyyE8zuI+rbHvM3LANbvgL6lcXuY8GgpWdp5lohmVTk1Chsx4A5LRRmAA4fogg1FaXUcYxtOC7jAjioJbujlwlcTLWgfSboD4JwJugvDfyOkb4JVP+uNqzZZ60p94LkBd012YnjuOZcJJ19OCttiJT3k8AQ50X7Ic9ZclHE7TiecoWpB6sajifXk43lDgTM8/ULBsRGEBaC/UcznH96CzeW4dk51HiEhaJ+1iKeOzRVROUjjCiSCnI2GCu3YjQYOg9ktv1BFEhvIJn02exRqORjUFpKUUoQO4qWZU8gYOz5OyzYkqza5kkpOlsUAJu5BbaYQlE0LgNElf1zZ2wRZodM6jQYeFJpXxGu5tRsuO+OZXm7lmsHgPzJ88nX0Fk9abHo/gCZNci1hz103y0kBPD913j+AwCWT15uRORzAO/K7/bnfbDYl8WFUi0IMzM5FqgKqugFfpfgR5rMJbn6o2pSbjzSx1fw9wf4NxvWhvUDzH0LXS2g5ywYsvsB3QcL7F46ZA9c/jRnfX/JnmDVXctFc+bYF840kDNSAWwbIZ4BLLoI1w7Iqwb29QMXz0JJ0tozA3MgQqJ1qWfsArCsuQitKthXCeoNsuFttt1AdLmxsDfX0JJhlBkXfhgzOcPpxQXMrgfe3tHxmzccTYcWer6CPG5Jjz10pELGo6MgJTjLzy7Jtd71VL29PxSqYZxEaeJZAxNYP2Tv98WRBq9tUSHXDu7tBnXZrNy8hnnYwWxb6MMj8lc+xKgEK21g8LjeMvisPAPJQzc5NXr3wPqklGGqaqJuwVrobn+sLzQCrQvFsxsmWqNs94BzPPbVOcWWhghZzpHPmAHMlZ2yl7m2kOsFRvl501PJVj+8pErulgCD3QcYx5Yd8ZzjwW17xIsG89f9JC2dvSFFIwiqNzuEmwUdojZMtGIJDLDtukKe16jvdsf5ZAwn5cNmCtbT1RlQauxQHHrkDN0foB/cELCoPGQ2Y+P2wzBlt3XMoBszIdg6bxikVhV0DO4jn/GYJde2hSwXpMCFwEzG3QPv7Rj8xgiI4bhLha754obHAKDDwDpJK9DKwBYxruTcpDDa3A6kKD/sIG0Pc7ZgsN1RMEsH1nnJd3Z81hdnHMOIMJvDpG7s70iJzWdzSBdgjJlqDtU7OjMisLebcg8uSCm9miPN2MA+1x6poJvh4xVm39lyvBfQZRTeQjqqceLuEbi+4LEfdxzDhXaSnp1BOjpU+WoFGSJr8L64g7N01l1XU6Vyw16kZvAT/datu4nimOfMns6++YB3oYacDzDvZmXdSDBtEcvqCBZISEirGvbhANnskD64hokR4WbJgLOmOFKuLfxjR8XS0q821Xaik4kq6/V2HfLlCrIb4N+smfVuA2S9Y4YrJs7xELneOHtUS3YGqRppxjKN9eWnHVuwvNpg+GAF20Yg65FmLoL551yHtIhPVFuDLQzCuaJ7RnGl0fmzPR295r70TNsomnWE7ZTUqT3b/ixeK0xysJ3BoVvhfqbQ6wF3D0sslx1mVUAIFqmz8BuDXCnMgZv6MAckMThIRSimu7BsFVGEKmLD+rFqR7EgRCk9RgEZ+LzCyrMXcqGrjxRo22fWHgUtgCgZOX4biqJogzg3DBS9JRC2rKlsvQ/IMzr29jAUEa6elNTSToh1oJ7U/iIcJCHBv35A+OQa7t2W69BUm0PBIOkD5O0j9NklpO+Bxy1wdU5K5K4FXt1Bzs+gyxnBvSFAFw3MYs7gZgTK/BMdAhHg7S3gK5gxeFnMgCEgfXANu94TTH3cQs+XyPMK9n4H9ASSJgBS6Nj712syfkqW1+0o3FU9UPXXHUgDs72HCYrZu4DumsJQY5sh9vak05lmQK5Inx0uBcNFZm3V4yhYQsetfgDiEhg1BsY+eWM/UCrkcpxmT+fXDKB4iGW7HjsAzkjpp0i1UslAfQeCoxGo1sVnMgxex/7gAGDe0eFsHqhgW71KUzmR7TOu3g2wXUR/3WD57YHlQUmZWTQG6WZVygjsFGiahw3w7Ir0/2XNcoJ3Dwz6B+4JKDW6slxCzxbIziAta8S5m9hBs8cldOaRlxVZD43F8PIM7gDUG5aJUOSIAFl6fs4x4yyGjy/QXXkM54K4AMIZxYYkHIV7RHkv42Kkt0ppZUOaa2rYRsXsBjQPNfw2wL3dYPZmjvX1ggDVptSUC4AqI1wAgIXtGHSppZJtmj2J4kazJQC1JdhvgBhQqLQUkhpLBwAg1QotvRmzY3sPWyjbvs2sDXYKqTM0AyE4pEgAyBhF6B233cFQpbY38HsqHbuDIM7ZszMXKvBEkU0cl/YQsXgFmCHBPXbQmmr3khVum2F6hRqHasu6P7dX5Aql57DA9gTVOBhJJc+u0MBrUpTdgeujawkO+B3KMQpQMHDszl8HSPbMRrYc07ZncCmZIjmsN+XY1pLNc12Gb2Vqw8IMHYPO+bsINYXp2Cl6MH6odkoJkles0a7Wiv6CbBYon/EoqkTWGtdB12ZUD2zfFOe2tEw57jeomepNl3MmZbzARMHQO2gWDNkhJcFUM1IUwOq6lHw53kvvE0Kw0MUoHiXwLkGEz1xR7p8Aw2CAYEgVzwLpDEzP0gEJKH1jS3/gkt1VU+qMy36ZquP/x16gcSZIlZ/WlXrD9k4AkBacW2o4xuLCon7N+Y+R+VnYmxISk2N1RSDeWsh2D6kq5OWczLaxhOu72Pdb4/lvlX+j7QD8MVX9p0XkQwD/t+/jOFzUt6Xx7J5I76gMF2ekCzV3Aak2qB76Io/M3pC5dgxCVRlgGEH48AL+ziNcLxDOHA43biq6PfvWUBBBA3WC+WtmIXJdKLibHvPbHfKigdl3iDcr1jgdet5QEejhACNE8qS8rtsdVBXmqx8BD2vWxFUe5nGHdHMOu+tRgZQ6nRXFyIZN6qWng5lnDnl+RVpUF5ntGSmEy3lR4uxJcTxfIb9+CxmzmdZOaLW+fkeRoc9fwX70IRf2JyizqMK8eYSu5jB3GyAEBhYi0JyB7R4untHRTpk0zxCn4MX/3Cs62QBk1kBnNYVHAJ5DXcOs9xyU1hAp/fQL5K6D++RjBsxDQH54ZAYyZ+CDG9aKZWVg4ywdElWiJSFCn19PTow8bKApAzkB+wNweY74bIWHH1/C9op6wxYUY2ZiWJrSuxWTgtuoJmcHLnq2S6QnNg72bgvzuOMz2FNBtnq74/dencPfHogOrxoG68YAMVMldjFD9Z17PuPVDNIGmMftRC2W3QG2H5CuV0S0di3Ffg6lzrIlZUFWC34OIGDw9pYZ9ZcfkBrtHXC/BpyF+ZlPgQ+fM6vaR0jXI90/wD675tiMEVJ5QAyDOlkeHcHtHmIMNCZIXUO3O4j3SA+PsCXjLt5DI+dZ2uzgXn7AjPWhZZZ0uy00Swvz7Ar5bI7mL/0sZLHg83WO9OJ5GSv9wPMAgNmMNbtnC+D2HjlESFMTeBHheSzmDLgTj4XdAebZBZE2pSOlX7yBeXHD+rGa6pz53R3M5QUXxqaG2bfAToGbcyofr1s6YKaiKmZLgRQAMOsdYIC0agAjsGtBOmtg73aQ+YyJ7sDsaq45f03IpR7Vwjx0wGYHrBbw7wieSMyIVwvU375HulrCbFqki/m0hpkukD5ZeqymuUf1Zot8NsPQG2iW0psLRRGQdHh3vy+0xAFWOe/y88sp+2AGKlSzrpN12LLvoKXOpn3mUW0TVp9F1N+6Rbo553MKEebT15Dlgpl0ayH3az4Da5EfHiHeQX1F+nvXQxY1y0SGCMw928aUHmgSEkwXYa0wc9ol2Ps9afkrCkphZKs4g2wEts2wXtDcK1wnCCWDMGaZ6gc25a62ynYZQeF3kf1+Z6Rt+fsWzluk2RxxNrZLUOjaIy8SNsMCmwzYtYMR9qtjFgmodgxCxiA31VLaaujUsiU7Qb1OWP+IQXtdHO/bVOq36CyHFdVZq7sWcVVPIlBsrRRgekOg5hBhDkMBPRT2bssa2e+skQtF373bIJ9TVdS0Pdst7TvkRXOkOscE0wfkeYP44RkFsRYVndECKo7BL0Rg3j5AL8+mfUQ2kevLyJ4Jket5Ksq23gEvnhGQioVlko5AlpSferaArHcE1968g7m5hlycQ+cNwvUC1RCA3YFlF/sOuj8AKwJBsm8ZnD6smT1zloDS45brqirSJQFE/3rN/WJO9eZcWdS3LXLjMJxXkxgXANT3AZIcJNOBHlvmZGp3wQRS/fymUEsjHXzbMdg0A4Mn1wnqTUYqLX98S7o1wExotdGJ8g3RUoNF6p8ttLaRClvf0xmudpkZosBAdX4b0Z/bEsBKaQPDVkP1o6LaRIoWbSKzE20kmKOAu90iPlth7Ntp2uILFNEPu2cZhPQDmVFD4F5RV8DjBrarpxo3pIR8/wBTWDj53R3k4w+5n4NtrpoxGw+wXZUqsnesPc9FAXWkFN7vuCdstpD5HFIUlVGOn2pBd83gJ1cKrTJQC51uq0ASBKvAwGwjFKgeLFxJqPgda2yl6+F21KpA5Rm4D3yms9uxts+y04EvZURG2QYncS3wGztRHwFMdEUybhjMnH07UOQNgAkZw5lDe2VRP4yvyQRKmKFQPou6rRmUgNk7gyFUyLWid9Uxs5oB0zPgcIFBoGuB5adsGxIWBq2TKXFjY8kOGxwVdI1Qvbqw7Pqba/QXbAnV3nj4Xaa67lg/25VMnafAFoNk0tS7c4P6MWNY8qfrSGldfNGjv2LCJTYG1ZY1k6wHJbBW31MTYHZrjqVIpZ7d7dlOLK48qoce1ZYJG7+j+Kfb9EjLamKQuX0o7fFYn+nXpV98H9E9n4MiVhlh5bB80pM4LthWKixtEYKTaXxWm1So3gR1VS3cweDsgf5K/6yC35D9N4p0mTbARCUY9aohyAAgWtLnzSCFzaTYj/03K4WKInllj04DjmuryJFBaB4sx/to0QBJMDUEBqZgcew1nUodea7Kul56y49K2Mzol97e9tjSif1gx7GqFFWMGaINqgcmCmwb4Df2CDwD9M27HjhfkeXkHfK8mej8enkGvHoHWc0JXo+lcN/Fvt8az7/nSy//NIC/q/z/DwH4d/5mxxlvHBFeoHk89tcZB7lE9rP020BUs7aTOqYtbQzk0KH/5AypMaVRukFqDOsaDsfNQLT0xiyomVv3GK6bCfHXmhRHGNCJW3cF+T9AY4SuN4D3ECPIl8tjm4khkCYZImS1xFgzR8EUOn3udjcV4Y5UpzT3iNcztDfVpPboOoXfJSrrOoNwVqN+syPy4R3pSJWHLObTRq9dBzEG8fMv4D75GPn+Afbm2fE8Nls69qU2b0SOmXkE8uOaNRqHwzSYxgwYri8h6y2vu+0ZRNw/0KEvWR7d7hhoVp5OQ8vMFQI3PAXgPvyA2awYuYm1HWTfQuYNg/qUeOwQGHTECNww2EybDczXPwKGsUjAsk3F9TWkH5DOZggXNakWA2CimYrb3Z7jaFQEHKXQWZSNiZqUagdXGag3sG/XpEgua4rUpJIxKEgvEjdruy+TyFnoeoM8BMiDA55dIb9+CxOvpixhftjBXJxDh0DV2l0P2eyIDjmKsSBE0s42O1JLLTOL2g98PqlkP1dzBsFGOOk9haukT3yWlYd9dk1E+fwMev8AiIHUFVS5Ged3d8BqScpU10PbFuo9zGIOPbSwLz9gEDcEBv2ljtaelyz1dsdAdQiQ87NjGxURZkx9xcD0+oK1tQDM9RXvX+WBtoXMZlMtpXQDcsowZyuey+MaslzCPr/hNY4OceWRH9fIf/0W7oMXpOYZA8yaUuPM+6sxkl683UIuLzDVNntHEa1S1wkA1XfuYV6cAwB7d4rArOZIq2bqGZuLYpvOa8RlDbsfEJ4vSY977Lgwv37gwns2h/Y9ZLWcKPK63QHbHax7DgwB9n5HYEIBJOUmJxROGRkOclYYDTkjZwcNhuM7CNx24DHGut8ShGspAdDawj0eEC9ILTbrHeKHlzB9wvB8gSpm+Ftma+VFDduxrYbuW5iSgdI556FWHvnZGczPfgoNEebZ1URd18c1x1XJ9trbzVSH59Ydg6ttC3UW/SeXqNstzK5HfLZCbizyqpmEJgCizn7Ntc9uOwznK8TGTDVEYw/Fsc1E85DQXRJxzZbqo35Nmi8UReTKY7ispxpHMzB7Agdu5K4gzV/Zw/uInTtDfWdh1gWc6gHXU8FyWBR0vKDFFCEqbVKKpP0YHEDB3s+1w3DmqSxY2sxUm4DQeLhdIGgVM5KlErcMBmHJoN14B7sPRS8gQQZlVnFLYNSU/on2XQfj7NQKB84i1xUkZ7jHkkEuQle5Ye2tVB7udstApO1JRXy3BR42EGu4Ns3qokKryJstjLXQ9Q7iCtjpPfDujuvLfMYA1AgBtBgJDC4XDODmpUTicQ0RgX9bqGrLOfCwZhBiWdqAecNANV0DZ0sCqh+94PtXC9K4c570FfKytGEBKNzXJ2ZsnYHfRcTGk9JYVUX1sVBso3JvyIr5f5xxuHFsIXGXYILF4jWzz1SaB/IDg0wTgfoxITV03uptht9EoNQWrj7j+EzFn6k3bDi//prH4k2aghh3yNi9dGhKgEIK4aigzMzbWDtnB4XrMqrHgLCkIuhw7rD8zgG5sgw8d8f2aumahLSx/zDVZ0tWsnZkBXUDwd3Vgj5B20H7nlnP9Q75cQ37wXNo0WlAiEeA4X7NfdoI2ypVHtZbmG2L+PyMDrkRpLpCnDuqTM+A/swgLxtmPb/+EmNLqryokeYOhxcV7n/8CcV2EGQ17FFpwH+i0z1Up5DBUCCoBS7/GmCDYvWtA6TtUX3+AN0dgItVqdkugeddRKoF+1pQrZmdsqGsDyVAZq/LcW3CE02SAmIPFDiCAeyW7Ba2bgsMCpSKr/VGp97xdlD4bWSGbchFgdqgfiDFNSwBGAaSavXYBqsvQeeBWSw7KOrHSKG2Mw8zlOCjLnWCtgB0a/b0HTtp6EVTSiyIxFRJSz9k6lTEOX2isWWM61HENw2qTUKjQH9uCL60VOqVpAhn3E9jY9jK6nFgG6dmQemGdYLpAvZfXTIQK2un3/QIZzVbQjmB60jr9489kx8iUOOnddQMGW7Pkin/aoPwfEV2R6bCdX8zn8rpmMXMqB96dM+aYysVRwDIFFo/lGtBKgwg00X0L+aFdcmeldkK/94oS2rO5mQ1hIjZF3tsPzojawgAjPLZGX6XxEJdTiUWCUJOaAFNAEAS9Q+y43Nndp8Pf6Thjj1ox3pZEwSmZGFNKGBIESEa96L5m4GtjYRtidw+IKwqpNogLgya2wDbseNCf0URIdMGqtP3mYy6lho6/n4HXc1LO8Z6KuXLlScLz1mKiu1blnnNarLgDh10t2d89D3s+6Ha/gkAvxtALSKfAfinQVGhf1xEegC3AL4cmD79/LHGc345NXreP3eY3yb0l6aoT7G9yHDODTmcMR3sx+BNhHSxyxWzoYm0GPUG2TeUU24TnDdFJtkU2gxpJ2lZleJlUxYWw56COSNfrqZm6Bid269+zECnqWDfPiDf3UNWK26WzgFdP15goZ9VU2NspFTq0BxMS4n7/qqG30W4NnPlUhQExqB9MSuBskFqzuAOCdV/9E22vJg3gHPI1xfoPloSbXm9g/mNP0aa5dqSdrpvkW5vYZ89m0RjdLODLBd05nd7oGkg1iDf3cMsF0Bdk7obAh3a9ZYTfzXnxuQd8CA8/qElWpoSg4hZQ9rwEHhPZg2zJhfndIpjhBiD9LgGMoMkEwtteruFfXbNYGa9oSMzBGhdw15eQt4+0Ok4X9IZShnxooHdW/ZIbRPOvxFRrQPCypUgU5DrUlheELvu0iI2QFVoFq4rFIjHCLdlq5X44SXbEtQWJhH8QGn/AgDxZgV3u2N/0blnEPL1G1SfPQDbPYGIr38CHYUVHtcwqyX0fAm8e2B2aKytioljqwg86WevkNsWUlX8V1fQfqCTv94wMN/s+XM+5z3uB2CzR/z8C0hdw1xfIn7ncwaRbcv73vcwWEHOV8dx2vfMVFYe+eEB6DoGmN4hffEaZtYg7fawb26hmc/PLObIj2suJgBwfYH86u1Uf0s69RVk3kAPBVy4uYYeOo6x6yvWDX70AVLlplpn2eyZSWxb5N2e42m3Y9a07ZB2e2a4Hx5gXzyHffkCutkxQCqghcSEtN5wHDXNFISjLICjIFL48BLDRYWwZI1Xe02xIzsAzR1RU20d+ssK2bO43h1ItdXKFTGgVOang92zRyiK0itUIWcroAiqaNsB15f8u7Ulq/OM1NhlDfvXvwW5vkT64AL2fo94s4L/7I51atdL+Ddr5FhDdiVQfsTUQidez+Bfx1IHzppUTqgMhAhbKHL5fAn7eIA2Hn47kBLrLUwbsPiUCrakFSfgzS1wtuIalhVYb2HbHjmU+u2OzBOE0rZmf2BbobH+d3dA/pgiXuaerafyop6UuNF2kLRgFqd2RLP3pTY65klpunu5wuHGUVxEMNW32p5BnQkoFCjSFke1PntZYfaqgGhdQLou9WlFGI30OQXOA0QU19c73Cx2cCbj880Zmje2CHcUWqMqqnVEf+nhW7bi8gdmGtjbzhS9ALYCqzYR+w8qLF4RNR5uPJrXB0jOiKsa1Ya0vzi7ZC2kM6XNEkWE0jOerxkS1DsGh/sD0tc/IBr/6gH5cknxLYCAhwjkfg1zV9aqyzNmGUvfVfUOpuv4TD1bH+lyBjhStPPVin2G94X6WsTGcPcAvbpA/vRzmOUCemgJqpyzPh7WIK03MKUEYsqQWUsASDJ0t0f69AFmtZpYMfnNO8hXP+LYEQqW5P0B9uaapQav3xI8jRGwbF+FV28LWOUg2z0D0DKecDafSkvMp2+BZ5eQPjAgAqiGnVBa72ASnVp9J8E+qXf2peYzLJilY8YApd0bge7u0hb6H2t0x0zBcOFKJiuhveH/uwu2bzDJkFlTlt5hSaEjjp1yXgbTHHFdaeHh6Giy9U5G/a4r7Stq2CGj2rKHa6rNJC5iCmNgbP0ULxrSK70jk6FkhmVHVpE0NdD2ZDCslkDfA7f3kKaBWS4QP/0M9uaGa3fbAqbQ6Joa2gF4fjWpXWdXyh36xD7VCtS3LcJFA8BR1VOB7uVqUgxun5FxNn8Xsf66w3AmU8ClVpG9QpsM+DyVIosrrSgEzATuhT0oi0J2d2Fw3hd9giEwi5syVToNnf5hZdBdC9JMp7pR7GWi8o5Kx2PAqY606VHwRRKpmVDB7B17wHdXrihXk0o6KoOayODNBo4p21FQa7ioCrCBQmcE4rIELV6Z8TJATgxeckvVUi6IzNTFmcFwxoATKOtk5vkmR7EqyR6rTxlcISv6S8cM3y7D76ionW3JxB/oM83eRQxnlgE2RsrwkUk2KrC6LpN+u7Tw+8w+xbVBXBaVc1c0LrKifzajhkufqQqdhN0ECruR56/AeY32WcWs6S4gVwbVXQ+5qJAaQ6G8mYNczKn4bQUIrPG2PTU3RmE+Pi8/1S2OokMmKNpLi2rHcx7OLKwoDjcehxfUqDj7uRZxQTCpWg/wO2ZZoUrRoX7G51DWgOwV/oMDFrMezmaoCmIyGKJFzgYpCRVhcUxoKwAt9Z556tfKe6ElUNUsDFKBKYC1rZlU7lFAAokly91znPl9htuypjtXFm7bM4BUha0dXGeYBW+ZbV58s4fZdyWwrNDsOya6xhZxPVsIoh+4T7y5BRZzUvQrD100QEjAvoV2HfK7W2iIwNtb1voPT9SNvmTfT8bzDxRV2z/zpI/nCwD/VLmP/3Owncp/+3t8fqrxbF5+ov2FoH1uUa0V7RUHQmoKtNTYshE4+B2R5dS4SURARZAWbPYqMVMxMpeG5AsDmRnM3wYcnlc43JiCFiW0HzQ4PDdTs2AW9itmtwP6Cw/bK/pzi+bOQz9ewXUJ9hAhrUP/Yo4mZ+iHV5BtB6y3SC8ukCs3ZRcm3nMR0+l+9AXUcHOSNENzP8DvmQGVBFSbNKErYeng9rwe29qS+c3QT14gXM6gRlDlDPO4hT+rSaGLbFAv+5Z1kP0AsQbiqO6qIUD8DHJ5TupSac2BGJEe17CXl6xbe1jT2UyJlNqugw4BpvL83KyBubpE/NZ3AFW4jz8CPBV39f6B13x+xo1ts2dwvphDvIf4ouI51gOGAelhICU0K/J2h9x2cJ+8JLVyTUqtNA3S/QPMrKimWgPdH1B9wb51Van3NB9eInuL6nFAWDTFOVXM7tk4d2zaLkkmWXsoYLLy2SaOr/5Zw83eCySxXsYeIsJHF2xYDADXC5g+TkgQe9INx1pTZ2B2haLsK2al1xRKQUwMrq1lJr3rYZ8/g5TsoQ4DtO+hfQ939hJ5u0P8xrdgVivku3u4Tz4mHfbVa0hVMUvY9zCLBfKeLUTszTV0t2fQ6Y/tXAAgvr2FPVsSAABgL85hmgbS1NNrpmmmcZHu7qfPSk1gZlxEZMd2CjrKZGfWdeXzBfT5RamDLXWuCuiQJoQ7nVWIpoaEDOfZt89sDzBimNEH6OjMGrjVclKUhWHblvBjH5Fmc4iw+x7hfAZ8dInouImpewnbJ7jHHlpbhK9dlkbPgrCyU00QhczYCy+sOG/jbIGxT6MdKDIw9hC2uwHdR6tSCxKplOvZrkX6Adp4pMsFbEpkGzy/hnQD4tWCqtmX5+zRWiiP5uKc8zdmKnoCyJcr2G3HQNUI5KFC9WhQPbIVRD6bMaPQJ84Hy2esTcXN4NkVHfqaKqiSM7DeAs0VlVAjN5zcOPYfTgrXBcBYBuuFsqyHA8zNNfLdA8eWsTCBwm15v5/GlnGOgfblOcdxadOk/QDZAOIMqsPATP3lGUG/IcG/eoS8OGc/49sO6XxGlkFI6K4swpIS/6ON9UN2IDLsWimtLADRQuVLBn5HNWLckGoYFgbdpUH3TBA+6aZg86xioP7Yz/DusMCz+QF/46sB8k1P2p6OfVEt6ofAWthssfqZLQ5fXSBXRYHRyRMlQqrvDucOEiuYonQtiTQw9axjy94wyC5CPG7dTfX1aeHhPr9Den6J+GwFlzN7J3qH8Mk1IAL3Zk3F19WcjIGrFcybe+jNBelNizlMaABrYHYH5NdvgYpBnD67Ys/n7YGCYyECz+Zcp9yCoIIqtOtZQhAjUNdIb97yeb+4IYDVM9OehwDTD8jbLdwHL+hwdh2ZD20pU+l6jq2UIIsFs219j/i4hlks4D76kLXliXXe+faOJSzzOaRpEF+/gbUWWC2gc9KC88zDHVi7mi+XLDUwhgJXYx1yG6bSivoxwAwZceFQ30ekxmI4dzCDornt4GYWUIr15KqwkA4U2yDFD1h8MSBXZqo7s4WxZdvE1g2l56o7JCxfF+qbE8S5gW91aqlTP7AtxKiyawctgcEIsDAbZoYSrLQJeeaAzDr54kwhzR38JhQ1Sy19Wx1sUd6eWq999gqp7WBffsB7fzgwkBeB7vfHui0A6XEN99ECsAb27Azp3TvYmxuku3sCwc5Rqd4azvE+MPP57deQpoHdt8gXK647McEJA+jVpwauzexXPiQMl9WTPqtUfR3OmZXsX0RIk2CqhLoOqFyCMXns8oQhOrRtBU0CXTuEBbD4gkGcSQrTB7Z56waCKG3He+8BrejvDecUDoLQac8RBOGKwFBqjsFmdqDAkC33MwkkCOzAZzu2+RjbiMSivtufG1Q7pQhaBuqWWTxAMZxZzN4GZMvr7j8MqM571DUd9DEwSYl+x9B7DAcH9R75c7I8+nOD7iYjz441mBTEKurcnWDqMW4FBoDfFbDFFQpuqNBdzkqPWH5x+4xBdKwF1V5LIM7g1QbSVtVyfmQvFHLzfM71I33b/rKC26fCNuA1NA8R1UNPlqHjPPKbok9RMosSFfMvOopVOtJLZIho3hwQVzW0Mqjf7BAvZjAdlZnjBWu93aaH87YwFxPCM5YlnP30GmlewW57pCKi5y8q+ENE8gbNHanXFz87FOVcoH9WM0PvBO2NQ/OQ2Jqs7Qh8vb6FLBeIz5asqzwwQ5lKcGmNwtmRD5uQVKAlqMxPKLOqgpSOAkSax/eUOCfzPWN2VJNBLJn+7JS1nb2U2nJMzNFhZRAWzDKyndNsAlQnRVwFbFFSJ1V5Dr+L8K8e0X79En4T4O5ZWmbWW85pSyXbeHtH3ywN0GYBc7smg0Uz9NASrBxKEutshfzwiO9l30/G8xMAfwLAj4jIXwXwR1X1XxSRKwB/EmylciMi/4SqPvxCx/I7xfm3InsuqaLaJPY3SlTBzE5YaL4iCukPygbiRbDCvxvFLdi42PyVn0X6LT+KYcneTWEhODyvERes0RgX4eZdjzBvEGeC+bs4LRz7D+qyEPJ94czBbyKGlYezBvm6gd8QyU7LGvY+Ak1NQYQhspjertDfzNE+Z0Nf1xfH9nZAbHgt/VlDoYmpuLfUEH2lFEi3RPpFWRw+uxNQJt7AP7KuML27hVctVEvePz1bMks5n0GtgfV+anuh94/crLelp9owMHt0ecmB8uotTKEKx1evYVYrBh8vnjOQPT+jAu9mB6jC3txwQJW+XqoK5Iz07U/hPv6Ii/5hxgxoRdqWfvEGpvIwH36M9MVr0ni8g/7ox9CYkRuHQylipvyzFoEMTDUidmAtF9FiOgj1Q4AM7NtU3+3RNI6Uqy4ie4uwchOVwrVshWBSRraGarAAwgXVNM0hsb7PH50IomQUpEEuaqHbjk5/VfpVnpfaybd3MIcWmjI37ItzSMN62PztW0Az7IvnzBjXFYO4iruShgD77Brx9RuIr5hlnDXQqoKI8HPLGeQxwszndND2Bz7Tuib9tO3oIJqiFLeYIT2ukXeArSu4lx9AN1uYxQLiHdLjGmY+R247OrQfvWTGu+ugbQszn8M8fwZdb0mXWMyRv/Ihka2UID17uOq+BS7POG9LACUpw9/tGWzuqHiWbs4ppFMogOFyhv3XViWjNYfKDUxUzP+jTzH8pq8hLLkkuUPCcOZg+4zZZ1v0Fx7zL1r0V3XJiGX4b7xG+uQ54tIjNIKw8JALnsuwNBjOjo5BagTNQ4A7kE7X3nhAgMWrAe6xRzqr2JIpUbVW2gF6OSf9bcfMqN1Qadt8Rkd/rDmlg52Rv/oBpE/Q1Qx2w/6o2lRTvbYkRXpxgbHmNs8ZkJnHHdLlimIrRpCrDEkGuSJIZTYttPGw65aiYmdLzqPGsc521QAgJVNCxPDJJbB6yZpkJbUXQ4Cez5lpRMbmNz3D+f+rhV6sIOsd8nLOOfLuDvLyBaw1HMcxQtsO7utfhTYV8s98kxm2ssGg8pDvfIHU97CTmjKpdGiuYQ4D/F/7DLg6R3p2BrMbEG7mkAVpzraLGC4bDCvB/hNFOE9TrYsEA9ORcsZ6V0E8S3QGDf9JZ/HwWEMdBUjoMCnCRYa57vHsfI+5D3AmI6sgq8CZjD44/MzPPaNIxIXC9oLmnvdbYkacWdT3PbrLOfLco3nTw8SM4bxCatjXLjYMUKptJnh5XcG1uQgNCep7LZluh9mrPesuhwgXEroPl8jeYPbpFlYEw9efw78hkpwuV9QaCBHusUWeV8gXCwpZdQP3n7cPSB89o1Js5RFfXkF+8qchv+HXQFrAfPgCOqsRruac5w8t152eWUq3D0cqlOd6ZF7ckJb30UvoEGAvzpH3LXR3gDQ18uMa7mtfga63gHNw50QJdFYDbQs9HFjf/9FLxC9eQc5WBGi6AemzVzDnK5jFYiplkbMVyzUeHnj89QbqihDff+rXQ9Y7xL/xc7C/4UeBlOE2B6QPLqmIvTuwdn7VYLhqUL/eAZVjOydgag9getL49l8hVc7vEsLCoL+ucXjOFgthUerwoiIsn2RjMpBrOoPttcXsNuFwY7F4ExHOHGyXsf/QI86otCpKh69eJ4SlpdJwI6jXpbG9GYNF9pustqk0r1fEpYXfRJioGC4cwsohZtZ1qiHtL80MqsdCdx04hup3B6p9iyAvPewhwOxbDL/x6xQZ++w12U1XF1QL3rdkiqxWDEa9g/vqJxOoIIs5A/6bS9icoG1H4GEISB9cwnznLbPgVxcECL54DVN6/OqH15AhwD5sYdd7uMcF4kWN6rNH6IKZ2Fltp3ZA61/jcfgww9x0OJv3qFwqPqfCjJxXAE50UqaO0aI9dzB92Sc6xeOPCj7YHhA//YyvffQS8c07hMXXoC5DZgmpcRg+CGjOe3gfeZxtDbQWZiADLa8i7Dwy4MVUsTFlpHI22DYVsrNYvGK7j1SRJtw8JOw+cnj4DaWPsNESqDrYzk/U/P6sQvtc0P1Ij5cfPKCyCV102HU1UqYiqnMJsyrgYtFCroD2hcPrswvMP63RfpTwa3/DF1j5DpXl/RqSxT7U2IcKh8FjXV3B7x36c5YgrT6L6K6pf9JdnMEGFIEjliXZwCB1bAMzLATNI+m4rldoBlLp+3y4IXMIYMAfZkzojOB9yix9SpVg/qpHOPNIjUP7oiqiXLnUIZYAOYOU0N2A/vkM1XpAaixs6Q08MlfCsznr29cH6HIGEzODykXF+mUAuXJsiXIYoLWHbQMkJXaxWDWYf3vNErI8BodAfHGBai1w6x7dyzlrtxue3rCy8EaQtzt2YLBkevnP77G4rtHdOAzJoG0rWJdhDI87BpajaWYAquBY0gIWaJYJbRiDz7GtzpFzDYhjCZs6RQKQACDjeA9LbakEOWpiTZReKUmX8hdRSAlwpbQDsoOHGWZ48Re3kJAn0Dy9u6P/uGdfePfVT6APj0SCzlcEsWoHs1wQ1LKGjLU3b8mSWy7wvez7EReKAP4XAP45AL8TwF8WkZ8E8HsB/DkAfxbAfwvATwD4H/1CB5KsqO8GhJVnT00r8HdUXOyfedJJdhk2MMiYv2qnPosSSbccW0OYPiL/lh9Fri2axwTTZwwXjlkXL0ieQaY9kIrienKgJTIASbXBsCKClWqZkAO3Z9CbaqLbu6/MsPjcYP+yxvl+DmkHZieq0gMSgA0Z1SazWe7Mwm8j/N0e9WUFwEzF31IG3CiWMaptmUQUY6TfjnWpkpS9Moss8Ug7RdtBL0qblJSJ2m2Z/dKxubP3DGisRS71nPHzLyDOMeuSMvL+UIRoZJqMI8otzkGcQ+743en2FmY2I9VWBLJakRq130N3O2B/QHoouEMIQMnAISXo44ZB0/0j5OWLKZs00oXGbKUdMiTqRJ2lCiSb/NYtW07kgYuE7Fq44vD7TX9UIQWVy9QRKs2ektoY0SEYNmV2MgEOdIALhcOY6bmSvhSn46q3U+YqV46BwhBIWS5tbNLjGvaZo1hGCQJ1u0PabCC+gpk1fH5dB4hBbnewZ2dTIKO+Qn6kWLQFILsKGgLSZsPXqpLt6nvk7Q5jD1rkNH0/wAxzfP0G9uIcmhLHQKEP5yLmBADxs89ZIwpMzxrv7pD3e2YfvGe7FPVFtMIx2KrZyy+fMVsJI7zBKQP3a+TtFubmGXJlJyEde7eDnXmYGZ+9OxxBpXEccH4wOKwfAvxjB3O/xSIDZrtHE1aQT18Dz6+hMcJ+cQdbebjrFWsmCw1MZzXixXw6dC7KfvW375FXlAo3Q0Z/6dFfeDT3A9qPVtxAK5n61gKkGNV3rKdCUsh8RnXdfYfwwTnVokvLCXPopmuSt3fAxx8QKPMOsML+oI8b4PKcz6D07DX7jnOwaSjXf3+sTdZZBfnm56xtHVWKx+xUU8OsD8xGA9CLFdy6KAZXjsHK7gBkhY0Jdan9qKwgvnoD23Wswe66KbNpH7fQrkdabyAlUy+PFel2WaGfvYJ88JwZ3gKGSUoUzPKO2eyH3SSvrh/cTM8hndWkBM4JDsW5R/fMY/8REJeZG3HmWmh6KvcBQG6ofCh9qde0bHuidWYLn7LG5koxXCfUVy0uVwc0LiJlg8/W59gdaoRDhdXVHi9WO3ztN93jvlvgzXqFTpeQZHHxcwp3iOgWNYaLmqyJUDLvY63eLsF1FskLVt/Yo/1whjincEZY2IneyTWIEvXthyWrXsDQMVs2PF9ADeB3AcPHF5MAR61Kev+iItW/dsxoB892KXO2vkofXsG+WyNXFv7qAjj00LqaPuvvC92ycpA1nXOzWEBfXrKudwjAlvW/KAyKtG9JadfiSG23QN8T8GoapIcHmKYBctEeaNtp3QFA1kxdQzdb5M0O9pOXZFjc3nENXC6QDweY0ExzDM7xM32PsfVYHlk13YB8voA8DJw/RWDPvnlE+pDif+GKtV5218MOQLUpLWaWHhIVzW0o/cIDTHSIc0Pn2gt7NI99+mYEMfsLj+ZdTwqhKhavAkSB+TuyqJq3LUt/FLCDhTtw/5fAva16pJhhWHnWBXuB3wZUG2A4L0BdVNakvW0RL2qEpYPZUqW5um/Z9ut2jd1vfolqG1CtM5lR+4GlQSFTOMzMYbYt5PO3BBPajs/91duj83f7wHXrcQ1T10ibDezlJbTvkb79KZfw+XxivLiLM4IAOSO/eQeIsCe5NcgxQl+/5Z6VE3KfITHCumNzA71YwT7uuC6U/sqmH6CzRSltMeieAbgYoIkUxZQNpASc008ARhS5OPMx2LJGA/2lYP4uw0SqbbpPPmZZEQDTcO76RwvdWjS3PWYXA5xLcIZAgJ8FRKslMOAUSJ1DKr7Y5MUXCiwAmMKgyk4KpR+lp6Rhax2fKY6kDCrGsj6JBNDyjPWimgWP+xmMUagK1U4V0JGiqQJjMgTAEBwkCvpnGe66gzcJ+1DjzaHC+jDDYVdDewszi5gveuBlh3euxvwV4G4pgLT4IqG98Ui1YPeS6+UkuDgojFWYrSIs2YfTdRmSCYrkCnDbhNRYnH2rhxkSwhn3rfqhqCeXUhToKOCY4TYd1egPHYBniAuH6pFlc+7xgPYr53CHBP92C6SE2YFq5+m6RrycwT12kOiQaovmm7dk+FR+AnH6F0tmX0Gmldv2QEJRiq8mEFlrfiZczWH3niJ6dU0AzBqsv14jzppp3U71sZVWtTFo9nvIdz5naVm4Y3IhfsA2TNm8F3COP0WUWc4CdkLlvUymlr9Nfk8ZKCo4pr6fBqFJpppRLtIAJtYPx9dYJvBUqEoy98mRTk5ffxzXfO9ILW8/nKG+G46+zI/9WjKJikgqugF4cQPpeoSrBfyhg3z+FvHungmr8xXSt74De3OD/PDw3p7wZft+As9/HsDfB+AZgJ8CW6j8TwD85wD8HICfBfAHAfyb+JsEnqk26K8r1urUgnxtsPtohbAQ+K1ifkf6rQrQXxvsPlri/JsB3YWF63XiMg9nFtnVaO4ThjOL9lpKPyDF7C5jWJLScoBDd7lgIFoBi7cJ/aUrNR0gT7qoQKkIBY8qQ+l8z75tqRK0L6pSlKzY/vg1++oZYPdRBd/qJLHv96xDGlY1llkx+2yP6sGje15j9qZHf1mhuScnvr2yOPvWgO6Zx+LzDhIShqsGs++sWbPRBVLxrGD46BLp1z5jO5gv1swy9Mw45I9ukOYe5oIOqf38FgAQP7mBA6CrBdLPfIOUqMqz6f0Xb4hov7jhQLy7R97vuXDPaqS/8XMMGsdB8sELBj8jDdM55NvbKXhJj2vYi3P+6cMPkDdbbnLbLWmcxVERa5DnNexn72BVqYL1+hbp4QHu13wNAI6qhiIMIHYHIEbEH/sKA4CfvSW6f1FapMTMYCAwMLV3O26QqtDPX7NesvQGVWcZWM7rifImgYXYWjlISLCWlF7Tc2xIFyaRHLNhf0ltKOSRzhewqojf/PZ0r8baJo0JuLlm8Hh1CVt5ZpC6Y9CZHh4AEZjZDOnV6/fmilks6MTP6kkICgAVIZsGuesmOqT4ChoGZj1zeu84Tye/PHHs3nvP/SM/qxlmNoNYy2BUDFQV/qe+Q/GckuWUtqcQTT8gf+s7zMyOzuvLF8DzK8j5Enk5g90PVMb8mU+B59dwrx+BfI48cwhzx3rLQ8TwIx/S4b4/NhY3Q0RaVEBewaz3iB9eMqP49ZcIZzXMsyUzOT/7LVhVhJeXABhkZjuKCQjaG49hIai3iuyfwfYJw8pOIh/ZCzOtJejNpSYkV1RahQHbmfQB8XyG/OEFM0NgABEvZvD3awrrFMXXfP/IGtnSciAvK5jdAF3OkK+WpPHumR3I5wvWjRwIaNm9gTsorv/KhsH0EJDbDubFM2aPnp3Dvr5D/OSGvTM/v+dcenPLOt6Y2W+zY+899a70WV0g1Ra2DbDWwN5cFzZEQF5vSW93DundOwYWqoA8QW5DgD1bcv6/uyu04UiF7HRA+uI1KeMffwQNobS9zaRP5YywqmASqezVXUeF78qgu2DLgWmz1CebMAptSNiDz/REdsmMFqhJSPMM+1jAoiiwO4MeM7w5VLBVQt0EzKqAm4sd5jcBtWXPtX2o8cX9GeLdDKvXgtXnCbM3LdLcodpESFRkVzQHVh7VekC1HrD5tQwW623C+tct0J+ZiUJY7VivNiwMDjcW9Vrh96T/dxcO7sLBdRmxMajXCerpLHTPGvQXpdl8p1C3gAnMnh4+uC6N1jOWP0OaJbwnfc0bSFhCnUH/Gz9B/ekjhpdnMIUyrpVD98ECzev9NO/NixtoHzmPux6Y/f/bO5Mfy5KrDn8Rcec35jxUdVe1bbrb3ZhBIIFgAYgtbNkhFvwFyBIL9kis+AOQkFizQAKxYQeIJTaWwbTabnfX1FlTDi/fcN8dI1ic+25mZZftsuU2dBGf1Mrqly8z38uMGzfOOb/zO9JvTRDQnp5xExVF0l8+n9M+l6SYLQrYJKpu0J7KPWjz+ebje6L0QBJirpF9SCkl94o4lr2pS8jpyViMryZjadWoG9RyLaNftEY9eY7b38F9/AD2ptJ+AphV189cO/I9w863JZBuxjHhaY4exQTzAl2GlNOhzLBLNempk0phIQFoPQxIzitsZEierHBKsborz4/PSsyiZPHuhORM/hbLI834gUN1r8OGChBnaRcoVOGILuteGps8zWkzmbXapoZqJyFc1jSpYb0fSdW9tRTHGVESEJ+X/VzxZhRhZjkqNOJHALhYTNtoml42ry6XuKN96ec8u5Be2tlMrvdSgrNNojg4Onzh72dzqSbb4y3Mt9ciqX7jdl9R7NeFc1It7RIB7Y5UQfRsJd4EWSJByXItY7e2hqLiOs+pvjShGThcq3EtlGUoVU7lZHyyevEetTnEt630etrYUW7BxdtGZjSOUtTJc3Hgnl2KvNtCsFRECyi3QqytKdYRKIe1GltrXK37frrNfnMVLW5+uIJAkmLShyrBYzXQhGtZQ2141Xd5VV2i7w+2oUh5nQanHVSasgwxnTSzbXVfDVPOUNfIyDAHTSOScF0q6suY0/GALKwZRSV76YpovyFQlqCzcv74cpfHdkK9SBjfk2ByUzk3lfTG1iNReYDuJZuDJ00371HRxKY3WwOIn61YvzHCRrpTp8k+3gy6hOq6pZ0qUIrktOrNstCadn/am4DpZUUzTWi2BzQDSVRUb2+T3Z+T3xn3vdTLw4D0QqS71digqy3MuqaeJNSjjZpAkz0u0EVNuZdQDwMpXmwlBMuaahKRfPeJJKesEzdskLanXMbJLe+krPcldhh+aske5bSDkPVu2Pdmo40Y7UUhrpavDxc1qFD+PrWhbTX6mivtZv06p7og8yrovFpomydfW2s3PvUZNtJqe1Ux3iQ50PTVVPpiqussZTYPXiVRsKpbjyLFnd8JmDauM1gy6EtRTGEt5Zf2pH8UqO5MWR6FbDcW81wTjEe4ixnVrdvE+S0IDCYKaT49+YFv45V6PK9+meou8K/AbwEPnHPvdY8r4OBlX/+CudBgi+WRYX2oqIeW8UfiplUPxFlrvR+IlflGN5/B2fsyiiQ5d6xuicuXKeQivnhHyohiLS39Oet9gymh2HbEF6q3tpaBz4b1rmSp8kNDuSXyrSCXx8K1Ilhb5nfkEFpsS1ZrfteQnMLF1yZdn4Y0Iy9vK5nRVTqCAvKDiHxfDo2zn0vJnoZUY0M1UuS7KdVYpA023By0IvJDRb6fkZzLfC59OKJNNPVAixNf7fqB0cHaYt+cSh9RJjeeZmAwa9tXD5PQUOwlNIkiiw7lgk/fpc4imoFIeEYAg4Q6DbGxIYolkK3uSFYqHryPLuveFbfNIvivjzDjMcSxzBTVWuY+vnEkgfLpJcwusXtTdBzhsgSzM0XNV+gunegmQ8zFgvZ4h3qS4DQk1hFMx9RHU8ls1Q22s1t3SYheF7jaEj466+YJNtI7pTXKdf143XxFVVZyCB6LDFYNBmJcsb8ns1bjSEY3JFfVaiKZBSlz80TesTGg0rVFNdFVoBYYkTpHYVfxVn0FvqeuUdtTqbamEao7uG+kCCoMrw7kcoGh4hvBJUhQuVrh3n2T9o0p8Tddf1BQaYqmO/zZFrcJNm8EnZ+5lrsDhwoC6e298XU6SbB5LkmKNOmDFkKZMUUUivYfySqqEOn7a1vpPW0a3CDpxrIYqWoHGgPoyRibSGXYpgFtKG7UKm+7mXkicXbdrtgPsy+kh9ANUumZLKWqaWIxaFGVOLK5SGz+lbWYvHOJ1Bq9LNDlgDQ2JN95hN3dQq/WRA+1uCA+fSYH3zePpTfzk/t0iiPMwT4qDLGXc6n2HB4QzldXUunZJcG3OvlhXUsfbhyjR0NUFEqv9YPHsLuNuX8is2uHA+p3jkXqWLeSCPrgY/ThPm65RNU14WpKtLKospOeLXOpXFxcwmiImS2x+xJkh49nIlvUWjKPdQO3DlCzBSQxzb0HmJ1t3NYE83yGTXbRy5LVnSHh44GIKxYLkVVu3Ek3awtwjfQf9WoGpE/YLhZyIL11jNvfQicx1Zu7hM8WtKMEc76knQykStdJA4NlRZt1bq4KqmnI/I2Ay7cd5jgni1raVmOt3KzrIsDWGlVrVNbiKi375rV+GQKHs456tLkjg81awlFFklYEXTa6agzrKuR5OaKexWQPA5JTx60HDappcIEl+9YDnHOYKMJOhhBognkhvUKV5fLLGdVE9u56BE4H1CM6xYbqxoJJn6rtWq0le94NY4+lYmIDcSwutmQQu67petDkfQ1OxIBOh2Jus97djKbQ6HoiUvFd2X+CtaXoxxooLt7e7809ZHi99G3ZYAi3h5j3jliNDOVYs/WhEVfHT05QkzF2nGGmYzExufcQFXYyquHgs/vcDYLDA5onT7uNxn3m85t1pYJA1BIL5PldktDOLq8SmV2CU49Gotx49Klk1MdD9LqUXqPhABeGqA++T/DVL2OzELWu0ErGkARFpxZ6fk7UzQY2eYVTUi1JzmqqiSikgkWFmeUiWXeudwBV2tGmoSQiLht0a/s+tPR5hVlJFVVZiOYNzVD8J8TcQxEuKnQdXJPYGsyyRFUNxWFGdF6RPpGAQOcVYSDV8fCylPad7U2PZ0G9naGck4Hui5WMgSsbkWA3VloyOtWSyxLUxbxPLLiiRI+HmCylPT0juH2r39PY7OtPu6Ctuw/ZOJBqrbWSFCjKPsGpk0Tkt1qL4sW5TtItjqpxZAhONSovqPfHBE1LfTiiHsjvotyNOXsvwB6vOdheYJ0iCZpeXruR2m7+X+Ow3Ym8bg211dStoawD8jymmUeUh0N6v+y9bXh+TrhsMbWRfsq55s6O7GGVNVSt7Ad1a/r+u03A67oAcFPB0tphtMV0Ev31KKE4CjBLja47mW4MzbQm3V53VUwJJm2raRtNWRnKUqOcwsUt6bRga5hf9XXaqwSfUg6zCVyAog6YtYp6rElHJaO4m03fBuR1RG01TWsoG0Oxjmgfp6TPNONP5HxUDTWL2wnNAPJDi4tbdK67fUQRzeV8rBvD8rbGrGX/Sk4dxbbu3H3FxfXiK7LXTO7VrI5SgrUUhM7fjYlnVnol74pvRrgbEqwkYI9PC9bHMW00RDkopwHlSBFkok6M5inrHcPiTRkfY0NoBjLeBAXrnZR6nBGfd+MYF7LXF1sZ6XlCORYJsG41dapJzwzl1BA/jCn2ZEyIWua4SafUc9JbriyMHlq2/uMMHj+TIgqw8WMNbt+iDQNRmBVtvz+Z8hb10JENStKoxugrxZ1sgZ1Sxylae1UJdV0F1F17DvDCGtxsode3XGvFjKhfm1b3/8bRVVWvvYDN115/7HrA29s3q76qmheG/DjA5CFBnhJfjEnPrSQtjGJ5dyAqnaFmfaA4jYaEqwGjT9aovTGL2zFNdkz20YWYJxaFWM++BOVecpN46ROVGgL/Avy5c+7vlFIz59z02ucvnHNbP+x7pAdvuOOv/wnNfg2Vxqy0WAY7aXyttlpUrQlyGRBuQ0e118rm+yTAGah2Wlza9e3NA+n/SR0uEDtjAodaS79FNNMUxzWq1oQzTTNw2ERcuVStcKnUps0sQFlFdKGoxw4bdXOWpo5wrlgfWNInWhzRwm4+TgnFgWTgR/egnMrMtybrNssGBg+hHirKbUdypljdtgQrKZmXew1mrQkX+jPuaUEuF1584SRjnlvKkQSwdC5jNhCpbrGrCJby/OFJSzWS3rb0uWX4acXqKCKet30WpB4YwpX8TttUy6yjTKyzm1Qu8iaWbHy4qAmeXtLujjDnK6pbE4JFhapb6u2UehBQTkW2Mf7uAn3ynGe/92WilWPwqKAZhoQLmSG2PhrQDDojmI1krXCst0UGnZy1V8HzaUGTiRFHPRIJdvg8p50kmFWFni1xs0uar97FJob44+c09x9eVf7+l9lUFs3ujlQQ+maRHx/9i19l9daI7FGOvv+0rzh8UTHjMWo0pPn0RAyUNoefn5D/K3/zH8YLr1EbzI7IA9uzc8xk/EJQB3Dyp7/B5Psto+9dinNtvpY+kzSR390n90Uyn2V9r7XN804aHUh1NE2uzKM6Iyqz0ykJxiMuf/mAILdkD+a03/nwx3gzspbN3p44Yh7u0XaS5nIvIchFGr/pyW5jmasbrqRfrdiR67kaaLKnNflByPxLmmK3k6hBn9FVjercFDcfxQVSdSYJAGbTAxo5TCX7RxuJPAwHyZkie+JkZmItlaf8KCbILYNPLq9mNgemHwW0yfKq4UASDztTqoMBF29HtImSg+yWDK2vJo74XA5n9dgSzjXVrhzsbGpRjZIRELXCZi16ZdCNohl2YzaMI30YgoVi36IrxeiewhRysCq3JdC1oaNJZQZkcu5Y7yvSZ45qLGqe+BJWt+S+EK6kJ7aNHeFcRk/YuHNIrqDcAlNDuBBFwPBxy+iDc05/bZfxvZI2kQpWkxkZvZM3hM+WYjDRyTJvopME+xI1xU+T69eROdiXv3XX3x7s79I8eUpw+xarrx1jY0X2cIU5ORMTuMBINTAIcKOM9oPvoX7lfc6/NiY9bRl+56lUzYpaetM/+B7m/Xekh2wpKgybiiuwPl+IciGLsHHAxTsZpnKMP14TnC7E4MZoGaSeheiqpRlK4jd9OEfNV5RfOSD+6Gnvjr2R4ts0FCOpyYByPyO5P8OFAXYYYS46j4vFStprkli8FRY51DXt6Rl6a0vuEZ36xUwnsg9cuweZvb0X7yMvUcoEb93BjlLcf3+Esw4zGaO6wJWf/wqqsdRbKeGskJEtTlxMVetIHi9FDhkFNKOI6GSOS0KaaSIzZtOA83djFm9BM2kgsijjUNpd9bhx4+x87dDcH7ZrA6UEfjvflILD6GFJdHJJ+93vw6//Ao9+Z0g9cWQnistfquR7WwWNAqv6ytGmmkmw2YO6A7lC+jWNyFGdBZsH6NxgSjmnytxVR5s52lFLH01uqlKNqDR0N2bDxk76SdP26nLZfFTXAmBEkmkL0591nYH0qVz7yrm+bSuad46wsSE8LzCXK9qtAevjAXWmmd+V86yNHPp4TXOe4EJLcB6QnCrqEbSJ6yu6AMFKzIraxHXzjuV8q2x3Rg0gKMQt+uIdg41klmX2RF5XPZT3n1zY3kXXVPJGL96WhI0poNh1BLmi3La04xYzFzl1sNToRn6mMxDOVf/8dmihM1SKLxTDR92aaR3FjsYZMGvH8In0ZY8e1ESXlZi+fXIC0zHu8TPpLV+uMFtT8boA2vOLq2tla+sz92eQgPTx77/J7D2Ly8SXQHX/bRbuVY/wtSDz5vZ4Y12/kN+7Fhz2vcabiqZVVwnYTc71ZvB58+ddW2M3P7quJzlYbeIviT+CwtFk8n3bWFFuQz10NOOWYG5IziT+UFYSp+KCDMNPLU2i+MbffP0bzrlf5QavFHgqpULgH4F/cs79ZffYh8BvO+ceK6WOgH92zr3zI77PApkB6vF80dnlB+ZzPJ4vFH4te14H/Dr2vC74tex5HbjjnNu7+eCruNoq4K+BDzZBZ8c/AH8E/EX38e9f4UV8+LLo1+P5oqGU+ne/lj2vA34te14H/Dr2vC74tex5nXkVc6HfBP4Q+E+l1Le6x/4MCTj/Vin1x8B94A8+l1fo8Xg8Ho/H4/F4PJ4vNK9iLvRv/GCvpd/96b4cj8fj8Xg8Ho/H4/G8bugf/ZSfKn/1M/55Hs/nhV/LntcFv5Y9rwN+HXteF/xa9ry2vLKrrcfj8Xg8Ho/H4/F4PD8JP+uKp8fj8Xg8Ho/H4/F4/p/hA0+Px+PxeDwej8fj8Xyu+MDT4/F4PB6Px+PxeDyfKz7w9Hg8Ho/H4/F4PB7P54oPPD0ej8fj8Xg8Ho/H87nyP4xIp9UptGq1AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1152x144 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sample = vad_dataset[3]\n",
    "\n",
    "label_height = 10\n",
    "vad_label = torch.stack([sample['is_voice'] for i in range(label_height)]).reshape(label_height, 1000)\n",
    "plt.matshow(vad_label)\n",
    "\n",
    "plt.matshow(sample['features'].transpose(0, 1).flip(0))"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}